Information
- Author Services
Initiatives
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
- Active Journals
- Find a Journal
- Proceedings Series
- For Authors
- For Reviewers
- For Editors
- For Librarians
- For Publishers
- For Societies
- For Conference Organizers
- Open Access Policy
- Institutional Open Access Program
- Special Issues Guidelines
- Editorial Process
- Research and Publication Ethics
- Article Processing Charges
- Testimonials
- Preprints.org
- SciProfiles
- Encyclopedia
Article Menu
- Subscribe SciFeed
- Recommended Articles
- Google Scholar
- on Google Scholar
- Table of Contents
Find support for a specific problem in the support section of our website.
Please let us know what you think of our products and services.
Visit our dedicated information section to learn more about MDPI.
JSmol Viewer
Iot technology applications-based smart cities: research analysis.
1. Introduction
2. scope of research, 2.1. backgrounds, 2.2. framework, 2.3. related concepts, 3. materials and methods, 3.1. bibliometric method, 3.2. search criteria and data collection, 3.3. data processing, 4. results and discussion, 4.1. scientific production, 4.2. subject areas and journals, 4.3. keyword analysis, 4.4. analysis of authors, research institutions, and countries, 4.4.1. authors, 4.4.2. research institutions, 4.4.3. countries, 4.5. future research directions, 5. conclusions, author contributions, conflicts of interest.
- Ma, X.; Xue, H. Intelligent Smart City Parking Facility Layout Optimization Based On Intelligent IoT Analysis. Comput. Commun. 2020 , 153 , 145–151. [ Google Scholar ] [ CrossRef ]
- Subbulakshmi, K. Smart Recyle Trash Management Systems for Smart City Using IoT. J. Mech. Contin. Math. Sci. 2019 , 1 . [ Google Scholar ] [ CrossRef ]
- Bhandari, R.; Swapnil, R.; Nidhi, S.; Dhruvi, D.; Harsh, K. IoT Based Smart City Bin. Int. J. Comput. Appl. 2020 , 176 , 26–29. [ Google Scholar ] [ CrossRef ]
- Lee, I. The Internet of Things for Enterprises: An Ecosystem, Architecture, and IoT Service Business Model. Internet Things 2019 , 7 , 100078. [ Google Scholar ] [ CrossRef ]
- Samuel, A.; Sipes, C. Making Internet of Things Real. IEEE Internet Things Mag. 2019 , 2 , 10–12. [ Google Scholar ] [ CrossRef ]
- Lelli, F. Interoperability of the Time of Industry 4.0 and the Internet of Things. Future Internet 2019 , 11 , 36. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Olabi, A.G. Circular Economy and Renewable Energy. Energy 2019 , 181 , 450–454. [ Google Scholar ] [ CrossRef ]
- Lukin, S.Y. Functions of Public Space in Social Development Processes. Public Adm. Cust. Adm. 2020 , 2020 , 45–50. [ Google Scholar ] [ CrossRef ]
- Moazami, A.; Carlucci, S.; Nik, V.M.; Geving, S. Towards Climate Robust Buildings: An Innovative Method for Designing Buildings with Robust Energy Performance under Climate Change. Energy Build. 2019 , 202 , 109378. [ Google Scholar ] [ CrossRef ]
- Kummitha, R.K.R.; Crutzen, N. Smart Cities and the Citizen-Driven Internet of Things: A Qualitative Inquiry into an Emerging Smart City. Technol. Forecast. Soc. Chang. 2019 , 140 , 44–53. [ Google Scholar ] [ CrossRef ]
- Chandrasekaran, Y.J.; Gunamony, S.L.; Chandran, B.P. Integration of 5G Technologies in Smart Grid Communication—A Short Survey. Int. J. Renew. Energy Dev. 2019 , 8 , 275–283. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Valtanen, K.; Backman, J.; Yrjola, S. Blockchain-Powered Value Creation in the 5G and Smart Grid Use Cases. IEEE Access 2019 , 7 , 25690–25707. [ Google Scholar ] [ CrossRef ]
- Achmad, K.A.; Nugroho, L.E.; Djunaedi, A.; Widyawan, W. Smart City Readiness based on Smart City Council’s Readiness Framework. Int. J. Electr. Comput. Eng. (IJECE) 2018 , 8 , 271–279. [ Google Scholar ] [ CrossRef ]
- De Waal, M.; Dignum, M. The Citizen in the Smart City. How the Smart City could Transform Citizenship. IT—Inf. Technol. 2017 , 59 , 263–273. [ Google Scholar ] [ CrossRef ]
- Eremia, M.; Toma, L.; Sanduleac, M. The Smart City Concept in the 21st Century. Procedia Eng. 2017 , 181 , 12–19. [ Google Scholar ] [ CrossRef ]
- Calzada, I. Problematizing and Politicizing Smart City-Regions: Is Devolution Smart? Territorio 2018 , 83 , 37–47. [ Google Scholar ] [ CrossRef ]
- Komninos, N.; Bratsas, C.; Kakderi, C.; Tsarchopoulos, P. Smart City Ontologies: Improving the Effectiveness of Smart City Applications. J. Smart Cities 2016 , 1 . [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Xue, X.; Wang, Q.; Zhang, F. Key Technologies and Application Evolution of Internet of Things. J. Comput. Appl. 2013 , 33 , 2701–2706. [ Google Scholar ] [ CrossRef ]
- Gershenfeld, N. Physics and Media. IBM Syst. J. 1996 , 35 , 575–576. [ Google Scholar ] [ CrossRef ]
- Gershenfeld, N.; Cohen, D. Internet 0: Interdevice Internetworking—End-to-End Modulation for Embedded Networks. IEEE Circuits Devices Mag. 2006 , 22 , 48–55. [ Google Scholar ] [ CrossRef ]
- Hügel, S. From the Garden City to the Smart City. Urban Plan. 2017 , 2 , 1. [ Google Scholar ] [ CrossRef ]
- Rachmawati, T.; Pertiwi, P.D. Smart Environment Program, Smart Way to Smart City. Policy Gov. Rev. 2017 , 1 , 26–36. [ Google Scholar ] [ CrossRef ]
- Zheng, L. What City Amenities Matter in Attracting Smart People? Pap. Reg. Sci. 2014 , 95 , 309–327. [ Google Scholar ] [ CrossRef ]
- Wohlleber, A. N Intercultural Smart City Concept Interkulturelles Smart-City-Konzept. GIS Bus. 2016 , 11 , 32–36. [ Google Scholar ] [ CrossRef ]
- Alam, K. A Digital Model for Smart City Using Internet of Things (IoT). Glob. Sci-Tech 2019 , 11 , 23. [ Google Scholar ] [ CrossRef ]
- Bader, S.R.; Maleshkova, M.; Lohmann, S. Structuring Reference Architectures for the Industrial Internet of Things. Future Internet 2019 , 11 , 151. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Dhondse, A.; Singh, S. Blockchain Powered Smart Cities. Commun. Appl. Electron. 2019 , 7 , 7–11. [ Google Scholar ] [ CrossRef ]
- Jaloudi, S. Communication Protocols of an Industrial Internet of Things Environment: A Comparative Study. Future Internet 2019 , 11 , 66. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Mohapatra, H.; Behura, A. IoT Based Smart City with Vehicular Safety Monitoring. Internet Things Cloud Comput. 2019 , 7 , 54. [ Google Scholar ] [ CrossRef ]
- Scekic, O.; Nastic, S.; Dustdar, S. Blockchain-Supported Smart City Platform for Social Value Co-Creation and Exchange. IEEE Internet Comput. 2019 , 23 , 19–28. [ Google Scholar ] [ CrossRef ]
- Allam, Z.; Newman, P. Redefining the Smart City: Culture, Metabolism and Governance. Smart Cities 2018 , 1 , 4–25. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Barns, S. Smart Cities and Urban Data Platforms: Designing Interfaces for Smart Governance. City Cult. Soc. 2018 , 12 , 5–12. [ Google Scholar ] [ CrossRef ]
- Geetha Pratyusha, M.; Misra, Y.; Anil Kumar, M. IoT Based Reconfigurable Smart City Architecture. Int. J. Eng. Technol. 2018 , 7 , 175. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Guo, K.; Lu, Y.; Gao, H.; Cao, R. Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City. Sensors 2018 , 18 , 1341. [ Google Scholar ] [ CrossRef ] [ PubMed ] [ Green Version ]
- Persai, P.; Katiyar, S.K. Development of Information Evaluation System for Smart City Planning Using Geoinformatics Techniques. J. Indian Soc. Remote Sens. 2018 , 46 , 1881–1891. [ Google Scholar ] [ CrossRef ]
- Raja, A. A Comprehensive Study on Smart City using BlockChain Technology. Int. J. Comput. Sci. Eng. 2018 , 6 , 640–643. [ Google Scholar ] [ CrossRef ]
- Wang, L.; Guo, B.; Yang, Q. Smart City Development with Urban Transfer Learning. Computer 2018 , 51 , 32–41. [ Google Scholar ] [ CrossRef ]
- Giannakoulias, A. Cloud Computing Security: Protecting Cloud-Based Smart City Applications. J. Smart Cities 2016 , 2 , 66–77. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Poslad, S.; Ma, A.; Wang, Z.; Mei, H. Using a Smart City IoT to Incentivise and Target Shifts in Mobility Behaviour—Is It a Piece of Pie? Sensors 2015 , 15 , 13069–13096. [ Google Scholar ] [ CrossRef ]
- Jin, J.; Gubbi, J.; Marusic, S.; Palaniswami, M. An Information Framework for Creating a Smart City Through Internet of Things. IEEE Internet Things J. 2014 , 1 , 112–121. [ Google Scholar ] [ CrossRef ]
- Goel, S.; Kumar, R.; Kumar, A.; Malhotra, R. Smart Station Search Assistance for Electric Vehicle—A Step Toward Smart City. IEEE Consum. Electron. Mag. 2020 , 9 , 27–33. [ Google Scholar ] [ CrossRef ]
- Groshev, I. Digital Transformation of Social Research and Development. Digit. Sociol. 2018 , 9–17. [ Google Scholar ] [ CrossRef ]
- Levchaev, P.A.; Khezazna, B. Transformation of Management Technologies in the Digital Economy. Digit. Transform. 2019 , 39–47. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Gobble, M.M. Digital Strategy and Digital Transformation. Res. Manag. 2018 , 61 , 66–71. [ Google Scholar ] [ CrossRef ]
- Zubritskaya, I.A. Analysis of the World Experience of Digital Transformation of Industry: Institutional Model. Digit. Transform. 2019 , 21–35. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Bruce, H. Perceptions of the Internet: What People Think When they Search the Internet for Information. Internet Res. 1999 , 9 , 187–199. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Abbate, J. What and Where is the Internet? (Re)Defining Internet Histories. Internet Hist. 2017 , 1 , 8–14. [ Google Scholar ] [ CrossRef ]
- Lewis, T. Who Owns the Internet? IEEE Internet Comput. 1998 , 2 , 82–84. [ Google Scholar ] [ CrossRef ]
- Ruggeri, G.; Loscrí, V.; Amadeo, M.; Calafate, C.T. The Internet of Things for Smart Environments. Future Internet 2020 , 12 , 51. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Zeadally, S.; Das, A.K.; Sklavos, N. Cryptographic Technologies and Protocol Standards for Internet of Things. Internet Things 2019 , 100075. [ Google Scholar ] [ CrossRef ]
- Park, J. Advances in Future Internet and the Industrial Internet of Things. Symmetry 2019 , 11 , 244. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Maskeliūnas, R.; Damaševičius, R.; Segal, S. A Review of Internet of Things Technologies for Ambient Assisted Living Environments. Future Internet 2019 , 11 , 259. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Abad-Segura, E.; González-Zamar, M.-D.; López-Meneses, E.; Vázquez-Cano, E. Financial Technology: Review of Trends, Approaches and Management. Mathematics 2020 , 8 , 951. [ Google Scholar ] [ CrossRef ]
- Cui, X.; Huang, X.; Ma, Y.; Meng, Q. A Load Balancing Routing Mechanism Based on SDWSN in Smart City. Electronics 2019 , 8 , 273. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Kendall, P. Between Big City and Authentic Village. City 2015 , 19 , 665–680. [ Google Scholar ] [ CrossRef ]
- Praharaj, S.; Han, H. Cutting through the Clutter of Smart City Definitions: A Reading into the Smart City Perceptions in India. City Cult. Soc. 2019 , 18 , 100289. [ Google Scholar ] [ CrossRef ]
- D’Aniello, G.; Gaeta, M.; Orciuoli, F.; Sansonetti, G.; Sorgente, F. Knowledge-Based Smart City Service System. Electronics 2020 , 9 , 965. [ Google Scholar ] [ CrossRef ]
- Kulkarni, K. Smart City as System of Systems: Subject of study—Vertical Farming and Autonomous Driving in Smart city. INCOSE Int. Symp. 2019 , 29 , 505–517. [ Google Scholar ] [ CrossRef ]
- Rotuna, C.; Gheorghita, A.; Zamfiroiu, A.; Smada, D.-M. Smart City Ecosystem Using Blockchain Technology. Inform. Econ. 2019 , 23 , 41–50. [ Google Scholar ] [ CrossRef ]
- Ngan, N.T. Determinants Influencing to Smart City. J. Adv. Res. Dyn. Control Syst. 2020 , 12 , 676–681. [ Google Scholar ] [ CrossRef ]
- Ghasemi, A.; Saberi, M. The Key Factors in Transforming Birjand City to a Smart City: Smart Mobility, Smart Government. Indones. J. Electr. Eng. Comput. Sci. 2020 , 19 , 317–324. [ Google Scholar ] [ CrossRef ]
- Ashwin, M.; Vasantha, B.; Roshini, R.; Anguraj, D.K. Smart City Applications with Solutions—A Survey. Int. J. Psychosoc. Rehabil. 2019 , 23 , 551–557. [ Google Scholar ] [ CrossRef ]
- Politis, S.S.; Zhang, Z.; Kouchaki, S.; Caldas, C.H. Framework for Network-Level Pavement Condition Assessment Using Remote Sensing Data Mining. J. Appl. Remote Sens. 2020 , 14 , 1. [ Google Scholar ] [ CrossRef ]
- Chen, X.; Yang, Q.; Deng, B.; Wang, H. Robust Interference Waveform Design in Fuzzy Colored Noise Based on Mutual Information. J. Appl. Remote Sens. 2020 , 14 , 016516. [ Google Scholar ] [ CrossRef ]
- Homainejad, A.S. With Geospatial in Path of Smart City. ISPRS—Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2015 , XL-7/W3 , 1381–1387. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Rafique, W.; Zhao, X.; Yu, S.; Yaqoob, I.; Imran, M.; Dou, W. An Application Development Framework for Internet-of-Things Service Orchestration. IEEE Internet Things J. 2020 , 7 , 4543–4556. [ Google Scholar ] [ CrossRef ]
- Bisio, I.; Lavagetto, F.; Luzzati, G. Cooperative Application Layer Joint Video Coding in the Internet of Remote Things. IEEE Internet Things J. 2016 , 3 , 1418–1426. [ Google Scholar ] [ CrossRef ]
- Kravchenko, A. The Practical Side of IoT Implementation in Smart Cities. Intellect. Arch. 2019 , 8 , 15–18. [ Google Scholar ] [ CrossRef ]
- Gremban, K. IoT and “Smart” Technology. IEEE Internet Things Mag. 2019 , 2 , 2. [ Google Scholar ] [ CrossRef ]
- Jiang, M.; Fu, K.-W. Chinese Social Media and Big Data: Big Data, Big Brother, Big Profit? Policy Internet 2018 , 10 , 372–392. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Pilloni, V. How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0. Future Internet 2018 , 10 , 24. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Cremer, S.; Loebbecke, C. Artificial Intelligence Imagery Analysis Fostering Big Data Analytics. Future Internet 2019 , 11 , 178. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Pecori, R. A Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams. Future Internet 2018 , 10 , 4. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Yu, H.; Yang, Z.; Sinnott, R.O. Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE Access 2019 , 7 , 6288–6296. [ Google Scholar ] [ CrossRef ]
- Saranyadevi, G.; Vani, R.; Bhargavee, V.N. Waste Disposal Management System for Smart City Using LoRa. J. Adv. Res. Dyn. Control Syst. 2020 , 12 , 1360–1364. [ Google Scholar ] [ CrossRef ]
- Kundu, D. Blockchain and Trust in a Smart City. Environ. Urban. ASIA 2019 , 10 , 31–43. [ Google Scholar ] [ CrossRef ]
- Issaoui, Y.; Khiat, A.; Bahnasse, A.; Ouajji, H. Smart Logistics: Blockchain Trends and Applications. J. Ubiquitous Syst. Pervasive Netw. 2020 , 12 , 9–15. [ Google Scholar ] [ CrossRef ]
- Abad-Segura, E.; González-Zamar, M.-D.; Infante-Moro, J.C.; Ruipérez García, G. Sustainable Management of Digital Transformation in Higher Education: Global Research Trends. Sustainability 2020 , 12 , 2107. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Gong, S.; Tcydenova, E.; Jo, J.; Lee, Y.; Park, J.H. Blockchain-Based Secure Device Management Framework for an Internet of Things Network in a Smart City. Sustainability 2019 , 11 , 3889. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- López Meneses, E.; Leiva Olivencia, J.J.; Vázquez-Cano, E. The Impact of Personal Interactions on the Stress of School Administrators: The Validation and Application of an Assessment Tool. Intang. Cap. 2017 , 13 , 499. [ Google Scholar ] [ CrossRef ]
- Kuwajima, H.; Yasuoka, H.; Nakae, T. Engineering Problems in Machine Learning Systems. Mach. Learn. 2020 , 109 , 1103–1126. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Ali, M.A.; Panchal, V.K. Smart City Application Operation Using Machine Learning Algorithm. Glob. Sci-Tech 2019 , 11 , 215. [ Google Scholar ] [ CrossRef ]
- Saharan, S.; Kumar, N.; Bawa, S. An Efficient Smart Parking Pricing System for Smart City Environment: A Machine-Learning Based Approach. Future Gener. Comput. Syst. 2020 , 106 , 622–640. [ Google Scholar ] [ CrossRef ]
- Aujla, G.S.; Singh, M.; Bose, A.; Kumar, N.; Han, G.; Buyya, R. BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications. IEEE Netw. 2020 , 34 , 83–91. [ Google Scholar ] [ CrossRef ]
- Kretschmer, H.; Kretschmer, T.; Asundi, A.Y.; Ravichandra Rao, I.K. Dr. Eugene Garfield A humble Homage to a great information scientist. COLLNET J. Sci. Inf. Manag. 2017 , 11 , 5–10. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Glänzel, W.; Abdulhayoǧlu, M.A. Garfield Number: On Some Characteristics of Eugene Garfield’s First and Second Order Co-Authorship Networks. Scientometrics 2017 , 114 , 533–544. [ Google Scholar ] [ CrossRef ]
- Abad-Segura, E.; González-Zamar, M.-D. Global Research Trends in Financial Transactions. Mathematics 2020 , 8 , 614. [ Google Scholar ] [ CrossRef ]
- González-Zamar, M.D.; Ortiz Jiménez, L.; Sánchez Ayala, A.; Abad-Segura, E. The Impact of the University Classroom on Managing the Socio-Educational Well-being: A Global Study. Int. J. Environ. Res. Public Health 2020 , 17 , 931. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Álvarez-Bermejo, J.A.; Belmonte-Ureña, L.J.; Martos-Martínez, Á.; Barragán-Martín, A.B.; Simón-Márquez, M.M. Instructional Changes Adopted for an Engineering Course: Cluster Analysis on Academic Failure. Front. Psychol. 2016 , 7 , 1774. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Abad-Segura, E.; Cortés-García, F.J.; Belmonte-Ureña, L.J. The Sustainable Approach to Corporate Social Responsibility: A Global Analysis and Future Trends. Sustainability 2019 , 11 , 5382. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- González-Zamar, M.-D.; Abad-Segura, E. La Realidad Aumentada Como Recurso Creativo En La Educación: Una Revisión Global. Rev. Creatividad Soc. 2020 , 32 , 164–190. [ Google Scholar ] [ CrossRef ]
- Delgado Vázquez, Á.; Vázquez-Cano, E.; Belando Montoro, M.R.; López Meneses, E. Análisis Bibliométrico Del Impacto De La Investigación Educativa En Diversidad Funcional Y Competencia Digital: Web Of Science Y Scopus. Aula Abierta 2019 , 48 , 147. [ Google Scholar ] [ CrossRef ]
- Bornmann, L.; Haunschild, R.; Hug, S.E. Visualizing the Context of Citations Referencing Papers Published by Eugene Garfield: A New Type of Keyword Co-Occurrence Analysis. Scientometrics 2017 , 114 , 427–437. [ Google Scholar ] [ CrossRef ] [ PubMed ] [ Green Version ]
- Sánchez, A.D.; de la Cruz Del Río Rama, M.; García, J.Á. Bibliometric Analysis of Publications on Wine Tourism in the Databases Scopus and WoS. Eur. Res. Manag. Bus. Econ. 2017 , 23 , 8–15. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Boldis, P.; Landova, H. Comparison of Citation Databases SCOPUS and Web of Science: Czech and Slovak Agricultural and Related Disciplines. Plant Soil Environ. 2006 , 52 , 481–484. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Liberati, A.; Altman, D.G.; Tetzlaff, J.; Mulrow, C.; Gøtzsche, P.C.; Ioannidis, J.P.A.; Moher, D. The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies that Evaluate Health Care Interventions: Explanation and Elaboration. J. Clin. Epidemiol. 2009 , 62 , e1–e34. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Belmonte-Ureña, L.J.; Garrido-Cardenas, J.A.; Camacho-Ferre, F. Analysis of World Research on Grafting in Horticultural Plants. HortScience 2020 , 55 , 112–120. [ Google Scholar ] [ CrossRef ]
- Abad-Segura, E.; González-Zamar, M.D. Effects of Financial Education and Financial Literacy on Creative Entrepreneurship: A Worldwide Research. Educ. Sci. 2019 , 9 , 238. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Yaminfirooz, M.; Gholinia, H. Multiple H-Index: A New Scientometric Indicator. Electron. Libr. 2015 , 33 , 547–556. [ Google Scholar ] [ CrossRef ]
- James, C.; Colledge, L.; Meester, W.; Azoulay, N.; Plume, A. CiteScore Metrics: Creating Journal Metrics from the Scopus Citation Index. Learn. Publ. 2019 , 32 , 367–374. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Prichina, O.S. Developing and Testing the Forecasting Algorithm for the Technological Revolution Theme through the Analysis of the SCImago JR Scientific Journal Database. J. Adv. Res. Dyn. Control Syst. 2020 , 12 , 712–724. [ Google Scholar ] [ CrossRef ]
- Brown, T.; Gutman, S.A. Impact Factor, Eigenfactor, Article Influence, Scopus SNIP, and SCImage Journal Rank of Occupational Therapy Journals. Scand. J. Occup. Ther. 2018 , 26 , 475–483. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Uddin, S.; Hossain, L.; Abbasi, A.; Rasmussen, K. Trend and Efficiency Analysis of Co-Authorship Network. Scientometrics 2011 , 90 , 687–699. [ Google Scholar ] [ CrossRef ]
- Ponomariov, B.; Boardman, C. What is Co-Authorship? Scientometrics 2016 , 109 , 1939–1963. [ Google Scholar ] [ CrossRef ]
- Fellnhofer, K. Visualised Bibliometric Mapping on Smart Specialisation: A Co-Citation Analysis. Int. J. Knowl.-Based Dev. 2018 , 9 , 76. [ Google Scholar ] [ CrossRef ]
- Zhou, S.; Tao, Z.; Zhu, Y.; Tao, L. Mapping Theme Trends and Recognizing Hot Spots in Postmenopausal Osteoporosis Research: A Bibliometric Analysis. PeerJ 2019 , 7 , e8145. [ Google Scholar ] [ CrossRef ]
- Whelan, F.J.; Rusilowicz, M.; McInerney, J.O. The Co-Occurrence and Co-Exclusion of Evolving Objects in Prokaryotes. Access Microbiol. 2019 , 1 . [ Google Scholar ] [ CrossRef ]
- Zhou, Q.; Leydesdorff, L. The Normalization of Occurrence and Co-Occurrence Matrices in Bibliometrics Using Cosinesimilarities and Ochiaicoefficients. J. Assoc. Inf. Sci. Technol. 2015 , 67 , 2805–2814. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Arita, H.T. Multisite and Multispecies Measures of Overlap, Co-Occurrence, and Co-Diversity. Ecography 2017 , 40 , 709–718. [ Google Scholar ] [ CrossRef ]
- Van Eck, N.J.; Waltman, L. Citation-Based Clustering of Publications Using CitNetExplorer and VOSviewer. Scientometrics 2017 , 111 , 1053–1070. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Waltman, L.; van Eck, N.J. Source Normalized Indicators of Citation Impact: An Overview of Different Approaches and an Empirical Comparison. Scientometrics 2012 , 96 , 699–716. [ Google Scholar ] [ CrossRef ]
- Delibasoglu, I.; Cetin, M. Hyperspectral Band Selection Using Structural Information via Hierarchical Clustering. J. Appl. Remote Sens. 2019 , 13 , 014526. [ Google Scholar ] [ CrossRef ]
- Badshah, A.; Ghani, A.; Ahsan Qureshi, M.; Shamshirband, S. Smart Security Framework for Educational Institutions using Internet of Things (IoT). Comput. Mater. Contin. 2019 , 61 , 81–101. [ Google Scholar ] [ CrossRef ]
- Ali Haidery, S.; Ullah, H.; Khan, N.U.; Fatima, K.; Rizvi, S.S.; Kwon, S.J. Role of Big Data in the Development of Smart City by Analyzing the Density of Residents in Shanghai. Electronics 2020 , 9 , 837. [ Google Scholar ] [ CrossRef ]
- Roy, S.K.; De, D. Genetic Algorithm based Internet of Precision Agricultural Things (IopaT) for Agriculture 4.0. Internet Things 2020 , 100201. [ Google Scholar ] [ CrossRef ]
- Pagliaro, M.; Meneguzzo, F. Digital Management of Solar Energy En Route to Energy Self-Sufficiency. Glob. Chall. 2019 , 3 , 1800105. [ Google Scholar ] [ CrossRef ]
- Starodubtsev, G.; Starodubstev, Y. Quality of Digital Information Resources in Condition of Global Info-Telecommunication System Multifaceted Management. IOP Conf. Ser. Mater. Sci. Eng. 2019 , 497 , 012135. [ Google Scholar ] [ CrossRef ]
- Vera-Baceta, M.-A.; Thelwall, M.; Kousha, K. Web of Science and Scopus Language Coverage. Scientometrics 2019 , 121 , 1803–1813. [ Google Scholar ] [ CrossRef ]
- Tran-Dang, H.; Krommenacker, N.; Charpentier, P.; Kim, D.-S. Towards the Internet of Things for Physical Internet: Perspectives and Challenges. IEEE Internet Things J. 2020 , 7 , 4711–4736. [ Google Scholar ] [ CrossRef ]
- Lytras, M.; Visvizi, A. Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research. Sustainability 2018 , 10 , 1998. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Hajikhani, A. Impact of Entrepreneurial Ecosystem Discussions in Smart Cities: Comprehensive Assessment of Social Media Data. Smart Cities 2020 , 3 , 112–137. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Zanella, A.; Bui, N.; Castellani, A.; Vangelista, L.; Zorzi, M. Internet of Things for Smart Cities. IEEE Internet Things J. 2014 , 1 , 22–32. [ Google Scholar ] [ CrossRef ]
- Capra, M.; Peloso, R.; Masera, G.; Roch, M.R.; Martina, M. Edge Computing: A Survey on the Hardware Requirements in the Internet of Things World. Future Internet 2019 , 11 , 100. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Aurigi, A.; Odendaal, N. From “Smart in the Box” to “Smart in the City”: Rethinking the Socially Sustainable Smart City in Context. J. Urban Technol. 2020 , 1–16. [ Google Scholar ] [ CrossRef ]
- Konovalova, T.A. The Perception of—A Smart City in Terms of Cognitive Interpretation on the Example of the Notion and Image of—A Smart City among Students (Future Architects). Int. J. Psychosoc. Rehabil. 2020 , 24 , 4954–4972. [ Google Scholar ] [ CrossRef ]
- Roopa, M.; Sujitran, M.; Saivikas. Efficient Waste Management System for Smart City using LoRa. Int. J. Psychosoc. Rehabil. 2020 , 24 , 3465–3476. [ Google Scholar ] [ CrossRef ]
- Ficco, M. Internet-of-Things and Fog-Computing as Enablers of New Security and Privacy Threats. Internet Things 2019 , 8 , 100113. [ Google Scholar ] [ CrossRef ]
- Guan, Z.; Jia, Y.; He, M. A Bidirectional Polling MAC Mechanism for IoT. Electronics 2019 , 8 , 715. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Xiao, J.; Zhang, B.; Luo, F. Distribution Network Security Situation Awareness Method Based on Security Distance. IEEE Access 2019 , 7 , 37855–37864. [ Google Scholar ] [ CrossRef ]
- Adat Vasudevan, V.; Tselios, C.; Politis, I. On Security Against Pollution Attacks in Network Coding Enabled 5G Networks. IEEE Access 2020 , 8 , 38416–38437. [ Google Scholar ] [ CrossRef ]
- Arora, K.; Singh, J.; Randhawa, Y.S. A Survey on Channel Coding Techniques for 5G Wireless Networks. Telecommun. Syst. 2019 , 73 , 637–663. [ Google Scholar ] [ CrossRef ]
- Lian, J.; Gao, Y.; Wang, H. Underwater Optical Wireless Sensor Networks Using Resource Allocation. Telecommun. Syst. 2019 , 71 , 529–539. [ Google Scholar ] [ CrossRef ]
- Kölsch, J.; Heinz, C.; Ratzke, A.; Grimm, C. Simulation-Based Performance Validation of Homomorphic Encryption Algorithms in the Internet of Things. Future Internet 2019 , 11 , 218. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Rejeb, A.; Keogh, J.G.; Treiblmaier, H. Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management. Future Internet 2019 , 11 , 161. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Islam, M.; Reza, S. The Rise of Big Data and Cloud Computing. Internet Things Cloud Comput. 2019 , 7 , 45. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Paranjape, K.; Guimaraes, T. User Support as Moderator for Cloud Computing User Satisfaction. Int. J. Cloud Comput. 2019 , 8 , 150. [ Google Scholar ] [ CrossRef ]
- Fíla, O.; Sellner, K.; Vysloužilová, D.; Klimecka-Tatar, D. Safety and Automatization of Machining Line. Syst. Saf. Hum.—Tech. Facil.—Environ. 2020 , 2 , 268–274. [ Google Scholar ] [ CrossRef ]
- Sharaf Dabbagh, Y.; Saad, W. Authentication of Wireless Devices in the Internet of Things: Learning and Environmental Effects. IEEE Internet Things J. 2019 , 6 , 6692–6705. [ Google Scholar ] [ CrossRef ]
- Gardner, N.; Hespanhol, L. SMLXL: Scaling the Smart City, from Metropolis to Individual. City Cult. Soc. 2018 , 12 , 54–61. [ Google Scholar ] [ CrossRef ]
- Shushrutha, D.; Reddy, G.K. A Study on IoT Based Smart Garbage and Waste in Smart City. Int. J. Comput. Sci. Eng. 2019 , 7 , 629–631. [ Google Scholar ] [ CrossRef ]
- Mahase, E. Covid-19: Trump Threatens to Stop Funding Who Amid “China-Centric” Claims. BMJ 2020 , 369 , m1438. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Fu, W.; Narayan, D. Optimization Algorithm for Embedded Linux Remote Video Monitoring System Oriented to the Internet of Things (IoT). Discret. Contin. Dyn. Syst.-S 2019 , 12 , 1341–1354. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Mahbub, M. A Smart Farming Concept Based on Smart Embedded Electronics, Internet of Things and Wireless Sensor Network. Internet Things 2020 , 9 , 100161. [ Google Scholar ] [ CrossRef ]
- Kumawat, D.V.; Umamaheswari, B. Internet of Things IoT Based Smart Environment Integrating Various Business Applications and Recent Research Directions. Int. J. Trend Sci. Res. Dev. 2019 , 3 , 422–425. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Dryjanski, M.; Buczkowski, M.; Ould-Cheikh-Mouhamedou, Y.; Kliks, A. Adoption of Smart Cities with a Practical Smart Building Implementation. IEEE Internet Things Mag. 2020 , 3 , 58–63. [ Google Scholar ] [ CrossRef ]
- Badii, C.; Bellini, P.; Difino, A.; Nesi, P. Smart City IoT Platform Respecting GDPR Privacy and Security Aspects. IEEE Access 2020 , 8 , 23601–23623. [ Google Scholar ] [ CrossRef ]
- Fallis, E.; Spachos, P.; Gregori, S. A power-Efficient Audio Acquisition System for Smart City Applications. Internet Things 2020 , 9 , 100155. [ Google Scholar ] [ CrossRef ]
- Alam, M.K.; Ahmed, M.; Naz, F. Internet of Things Technologies for Smart Towns: A Remote System for Making Town Smart. Int. J. Trend Sci. Res. Dev. 2018 , 2 , 1366–1370. [ Google Scholar ] [ CrossRef ] [ Green Version ]
- Austin, M.; Delgoshaei, P.; Coelho, M.; Heidarinejad, M. Architecting Smart City Digital Twins: Combined Semantic Model and Machine Learning Approach. J. Manag. Eng. 2020 , 36 , 04020026. [ Google Scholar ] [ CrossRef ]
- Czupich, M. The Role of ICT in the Smart City Concept. Olszt. Econ. J. 2019 , 14 , 63–74. [ Google Scholar ] [ CrossRef ]
- Mukherjee, A.; De, D.; Ghosh, S.K. FogIoHT: A Weighted Majority Game Theory Based Energy-Efficient Delay-Sensitive Fog Network for Internet of Health Things. Internet Things 2020 , 11 , 100181. [ Google Scholar ] [ CrossRef ]
- Lynggaard, P.; Skouby, K. Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision. Sensors 2016 , 16 , 1840. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Kohli, M.; Tiwari, R. IoT – An Exquisitely Adequate Technology to Reinforce the “City of Future—Smart City”. IJARCCE 2018 , 7 , 11–14. [ Google Scholar ] [ CrossRef ]
- European Innovation Partnership on Smart Cities and Communities (EIP-SCC) European Comission. Available online: https://eu-smartcities.eu/ (accessed on 15 July 2020).
- Rocha, C.; Fernandes Narcizo, C.; Gianotti, E. Internet of Management Artifacts: Internet of Things Architecture for Business Model Renewal. Int. J. Innov. Technol. Manag. 2019 , 16 , 1950062. [ Google Scholar ] [ CrossRef ]
- Alliance for Internet of Things Innovation. Available online: https://aioti.eu/ (accessed on 21 July 2020).
- Smart Cities World. Available online: https://www.smartcitiesworld.net/home (accessed on 21 July 2020).
- Smart City.Press. Available online: https://www.smartcity.press/ (accessed on 20 July 2020).
- IoT World Today. Available online: https://www.iotworldtoday.com/ (accessed on 21 July 2020).
Click here to enlarge figure
| Year | Article Title [Reference] | Author(s) | Journal |
|---|---|---|---|
| 2019 | A Digital Model for Smart City using Internet of Things (IoT) [ ] | Alam, K. | Global Sci-Tech |
| 2019 | Structuring Reference Architectures for the Industrial Internet of Things [ ] | Bader, S.R.; Maleshkova, M.; Lohmann, S. | Future Internet |
| 2019 | Blockchain Powered Smart Cities [ ] | Dhondse, A.; Singh, S. | Communications on Applied Electronics |
| 2019 | Communication Protocols of an Industrial Internet of Things Environment: A Comparative Study [ ] | Jaloudi, S. | Future Internet |
| 2019 | IoT Based Smart City with Vehicular Safety Monitoring [ ] | Mohapatra, H.; Behura, A. | Internet of Things and Cloud Computing |
| 2019 | Blockchain-Supported Smart City Platform for Social Value Co-Creation and Exchange [ ] | Scekic, O.; Nastic, S.; Dustdar, S. | IEEE Internet Computing |
| 2018 | Redefining the Smart City: Culture, Metabolism, and Governance [ ] | Allam, Z.; Newman, P. | Smart Cities |
| 2018 | Smart cities and urban data platforms: Designing interfaces for smart governance [ ] | Barns, S. | City, Culture and Society |
| 2018 | IoT-based reconfigurable smart city architecture [ ] | Geetha Pratyusha, M.; Misra, Y.; Anil Kumar, M. | International Journal of Engineering & Technology |
| 2018 | Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City [ ] | Guo, K.; Lu, Y.; Gao, H.; Cao, R. | Sensors |
| 2018 | Development of Information Evaluation System for Smart City Planning Using Geoinformatics Techniques [ ] | Persai, P.; Katiyar, S.K. | Journal of the Indian Society of Remote Sensing |
| 2018 | A Comprehensive Study on Smart City using Blockchain Technology [ ] | Raja, A. | International Journal of Computer Sciences and Engineering |
| 2018 | Smart City Development with Urban Transfer Learning [ ] | Wang, L.; Guo, B.; Yang, Q. | Computer |
| 2016 | Cloud computing security: protecting cloud-based smart city applications [ ] | Giannakoulias, A. | Journal of Smart Cities |
| 2015 | An Information Framework for Creating a Smart City Through Internet of Things [ ] | Poslad, S.; Ma, A.; Wang, Z.; Mei, H. | Sensors |
| 2014 | Using a Smart City IoT to Incentivise and Target Shifts in Mobility Behaviour—Is It a Piece of Pie? [ ] | Jin, J.; Gubbi, J.; Marusic, S.; Palaniswami, M. | IEEE Internet of Things Journal |
| Journal | A | C | C/A | Country | Subject Area | h * | Citescore * | SJR * | SNIP * | 1A * | LA * |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sensors | 101 | 1112 | 0.901 | Switzerland | BGM-CH-EN-PA | 23 | 3.72 | 0.592 | 1.576 | 2013 | 2019 |
| IEEE Access | 92 | 1408 | 1.141 | USA | CS-EN-PA | 20 | 4.96 | 0.609 | 1.718 | 2015 | 2019 |
| IEEE Internet of Things Journal | 80 | 4774 | 3.869 | USA | CS | 25 | 11.33 | 1.396 | 3.874 | 2014 | 2019 |
| Future Generation Computer Systems | 66 | 2362 | 1.914 | Netherlands | CS | 25 | 6.30 | 0.835 | 2.464 | 2016 | 2019 |
| IEEE Communications Magazine | 24 | 843 | 0.683 | USA | CS-EN | 15 | 11.27 | 2.373 | 4.681 | 2013 | 2019 |
| International Journal of Innovative Technology and Exploring Engineering | 23 | 0 | 0.000 | India | CS-EN | 1 | NA | NA | NA | 2019 | 2019 |
| Sustainable Cities and Society | 17 | 283 | 0.229 | Netherlands | EY-EN-SS | 9 | 5.22 | 1.100 | 1.745 | 2017 | 2019 |
| International Journal of Recent Technology and Engineering | 16 | 3 | 0.002 | India | BMA-EN | 1 | NA | NA | NA | 2018 | 2019 |
| Sustainability | 16 | 86 | 0.070 | Switzerland | EY-ES-SS | 7 | 3.01 | 0.549 | 1.169 | 2016 | 2019 |
| International Journal of Advanced Computer Science and Applications | 13 | 9 | 0.007 | UK | CS | 2 | NA | NA | NA | 2018 | 2019 |
| Rank | Keyword | Articles | % | Links | Total Link Strength | Cluster (See ) |
|---|---|---|---|---|---|---|
| 1 | Internet of Things | 901 | 73.13% | 493 | 6811 | 2 |
| 2 | Smart City | 654 | 53.08% | 489 | 5068 | 1 |
| 3 | Big Data | 147 | 11.93% | 335 | 1355 | 1 |
| 4 | Internet | 126 | 10.23% | 273 | 989 | 5 |
| 5 | Wireless Sensor Networks | 111 | 9.01% | 304 | 1059 | 2 |
| 6 | Automation | 105 | 8.52% | 306 | 1071 | 7 |
| 7 | Network Security | 97 | 7.87% | 287 | 962 | 3 |
| 8 | Intelligent Buildings | 95 | 7.71% | 280 | 979 | 7 |
| 9 | Cloud Computing | 88 | 7.14% | 249 | 799 | 6 |
| 10 | Energy Efficiency | 80 | 6.49% | 262 | 841 | 2 |
| 11 | Network Architecture | 78 | 6.33% | 259 | 831 | 6 |
| 12 | Information Management | 74 | 6.01% | 266 | 780 | 1 |
| 13 | Distributed Computer Systems | 72 | 5.84% | 243 | 729 | 1 |
| 14 | Energy Utilization | 72 | 5.84% | 246 | 696 | 2 |
| 15 | Data Handling | 57 | 4.63% | 214 | 590 | 1 |
| 16 | Sensors | 55 | 4.46% | 194 | 456 | 1 |
| 17 | Fog Computing | 53 | 4.30% | 176 | 501 | 6 |
| 18 | Digital Storage | 51 | 4.14% | 191 | 485 | 6 |
| 19 | Decision Making | 50 | 4.06% | 199 | 476 | 1 |
| 20 | Security | 49 | 3.98% | 162 | 391 | 2 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Big Data | 147 | 335 | 1355 | 11 | Semantics | 32 | 122 | 260 |
| 2 | Information Management | 74 | 266 | 780 | 12 | Data Acquisition | 30 | 150 | 315 |
| 3 | Distributed Computer Systems | 72 | 243 | 729 | 13 | Data Analytics | 28 | 138 | 292 |
| 4 | Data Handling | 57 | 214 | 590 | 14 | Middleware | 28 | 124 | 227 |
| 5 | Sensors | 55 | 194 | 456 | 15 | Environmental Monitoring | 27 | 120 | 221 |
| 6 | Decision Making | 50 | 199 | 476 | 16 | Ubiquitous Computing | 26 | 126 | 235 |
| 7 | Monitoring | 45 | 186 | 431 | 17 | Privacy | 23 | 113 | 220 |
| 8 | Data Privacy | 37 | 177 | 418 | 18 | Proposed Architectures | 23 | 134 | 288 |
| 9 | Cryptography | 35 | 148 | 345 | 19 | Application Programs | 21 | 125 | 204 |
| 10 | Information and Communication Technologies | 32 | 170 | 335 | 20 | Smartphones | 20 | 119 | 192 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Wireless Sensor Networks | 111 | 304 | 1059 | 11 | Intelligent Transportation Systems | 29 | 136 | 310 |
| 2 | Energy Efficiency | 81 | 262 | 841 | 12 | Energy Conservation | 26 | 124 | 250 |
| 3 | Energy Utilization | 72 | 246 | 696 | 13 | Complex Networks | 25 | 141 | 239 |
| 4 | Security | 49 | 162 | 391 | 14 | Mobile Telecommunication Systems | 23 | 121 | 210 |
| 5 | Intelligent Systems | 43 | 178 | 437 | 15 | Scheduling | 22 | 118 | 212 |
| 6 | Authentication | 35 | 113 | 317 | 16 | Wireless Sensor Network | 21 | 120 | 205 |
| 7 | Optimization | 33 | 147 | 268 | 17 | Gateways (Computer Networks) | 20 | 99 | 205 |
| 8 | Vehicles | 32 | 154 | 343 | 18 | Wireless Sensor Network (WSNS) | 18 | 75 | 161 |
| 9 | 5G Mobile Communication Systems | 30 | 141 | 265 | 19 | Energy Harvesting | 17 | 79 | 140 |
| 10 | Intelligent Transportation Systems | 29 | 136 | 310 | 20 | Traffic Congestion | 17 | 108 | 178 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Machine Learning | 40 | 176 | 385 | 11 | Transportation | 20 | 117 | 216 |
| 2 | Data Mining | 39 | 143 | 331 | 12 | Waste Management | 20 | 84 | 168 |
| 3 | Artificial Intelligence | 33 | 164 | 317 | 13 | Air Quality | 18 | 83 | 157 |
| 4 | Learning Systems | 33 | 177 | 356 | 14 | Architecture | 17 | 84 | 144 |
| 5 | Sensor Networks | 30 | 132 | 241 | 15 | Neural Networks | 16 | 82 | 153 |
| 6 | Deep Learning | 28 | 131 | 266 | 16 | Sensors and Actuators | 16 | 89 | 144 |
| 7 | Real Time Systems | 26 | 154 | 293 | 17 | Security of Data | 15 | 75 | 128 |
| 8 | Forecasting | 21 | 90 | 179 | 18 | Urban Transportation | 14 | 68 | 123 |
| 9 | Learning Algorithms | 20 | 112 | 213 | 19 | Economic and Social Effects | 13 | 89 | 122 |
| 10 | Security Systems | 20 | 100 | 189 | 20 | Interactive Computer Systems | 13 | 90 | 151 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Internet Protocols | 34 | 160 | 357 | 12 | Long Range Technology (LORA) | 17 | 62 | 130 |
| 2 | Embedded Systems | 29 | 153 | 306 | 13 | Network Layers | 17 | 110 | 185 |
| 3 | Radio Frequency Identification (RFID) | 27 | 125 | 228 | 14 | Cost Effectiveness | 16 | 100 | 166 |
| 4 | Low Power Electronics | 25 | 132 | 279 | 15 | IoT Architectures | 15 | 81 | 132 |
| 5 | Smart Power Grids | 23 | 129 | 261 | 16 | Zigbee | 15 | 78 | 120 |
| 6 | Communication Technologies | 22 | 123 | 211 | 17 | Wide Area Networks | 14 | 90 | 181 |
| 7 | Electric Power Transmission Networks | 22 | 138 | 263 | 18 | LoRaWAN | 13 | 65 | 120 |
| 8 | Smart Grid | 22 | 126 | 233 | 19 | Standards | 13 | 77 | 114 |
| 9 | Wireless Communications | 19 | 120 | 209 | 20 | Wi-Fi | 13 | 93 | 146 |
| 10 | Radio Frequency Identification (RFID) | 18 | 103 | 209 | 20 | Message Queue Telemetry Transport (MQTT) | 12 | 31 | 49 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Interoperability | 38 | 145 | 301 | 11 | Smart Environment | 13 | 68 | 104 |
| 2 | IoT Applications | 31 | 107 | 215 | 12 | Information and Communication Technology | 12 | 35 | 70 |
| 3 | Sustainable Development | 29 | 131 | 264 | 13 | Ecology | 11 | 68 | 113 |
| 4 | Urban Growth | 27 | 131 | 272 | 14 | Mobility | 11 | 38 | 63 |
| 5 | Semantic Web | 23 | 99 | 195 | 15 | Quality of Life | 11 | 57 | 85 |
| 6 | Urban Planning | 22 | 93 | 184 | 16 | Energy | 10 | 62 | 101 |
| 7 | Electronic Commerce | 21 | 76 | 152 | 17 | Technological Development | 9 | 33 | 54 |
| 8 | Ecosystems | 18 | 113 | 189 | 18 | 5G | 8 | 46 | 58 |
| 9 | Population Statistics | 18 | 99 | 173 | 19 | Building Blocks | 8 | 33 | 47 |
| 10 | Sustainability | 16 | 79 | 146 | 20 | Innovation | 8 | 25 | 43 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Network Architecture | 78 | 259 | 831 | 11 | Resource Management | 15 | 88 | 159 |
| 2 | Fog Computing | 53 | 176 | 501 | 12 | Telecommunication Services | 14 | 90 | 138 |
| 3 | Digital Storage | 51 | 191 | 485 | 13 | Cloud | 13 | 53 | 87 |
| 4 | Quality of Service | 47 | 218 | 464 | 14 | Software Defined Networking | 13 | 100 | 162 |
| 5 | Edge Computing | 44 | 179 | 445 | 15 | Web Services | 12 | 56 | 95 |
| 6 | Fog | 40 | 153 | 419 | 16 | Augmented Reality | 11 | 63 | 90 |
| 7 | Computer Architecture | 37 | 177 | 445 | 17 | Heterogeneous Devices | 11 | 72 | 107 |
| 8 | Blockchain | 26 | 101 | 194 | 18 | Energy Consumption | 10 | 73 | 104 |
| 9 | Green Computing | 25 | 157 | 306 | 19 | Industry 4.0 | 10 | 38 | 49 |
| 10 | Information Services | 23 | 140 | 263 | 20 | Mobile Devices | 10 | 59 | 83 |
| R | Keyword | O | L | TLS | R | Keyword | O | L | TLS |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Intelligent Buildings | 95 | 280 | 979 | 11 | Lighting | 6 | 43 | 55 |
| 2 | Smart Homes | 26 | 106 | 250 | 12 | Wireless Sensor Networks (WSN) | 6 | 30 | 44 |
| 3 | Energy Management | 17 | 90 | 178 | 13 | Building Management System | 5 | 37 | 56 |
| 4 | Energy Management Systems | 11 | 54 | 96 | 14 | Energy Optimization | 5 | 40 | 54 |
| 5 | Buildings | 10 | 64 | 119 | 15 | Light-Emitting Diodes | 5 | 32 | 41 |
| 6 | Future Internet | 10 | 48 | 73 | 16 | Security Requirements | 6 | 29 | 49 |
| 7 | Smart Building | 8 | 47 | 86 | 17 | Service-Oriented Architecture (SOA) | 6 | 42 | 65 |
| 8 | Commerce | 7 | 48 | 63 | 18 | Control Systems | 5 | 28 | 38 |
| 9 | Architectural Design | 6 | 29 | 36 | 19 | Realtime Processing | 5 | 50 | 60 |
| 10 | Cameras | 6 | 33 | 43 | 20 | Electronic Data Interchange | 5 | 50 | 59 |
| Author | Institution | A | Country | SA | C | C/A | h * | 1A * | LA * | Keyword 1 | Keyword 2 | Keyword 3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Muñoz, L. | Universidad de Cantabria | 10 | Spain | CS-E | 618 | 62 | 8 | 2011 | 2019 | Internet | Electronic Commerce | Experimentation |
| Choo, K.K.R. | University of Texas at San Antonio | 9 | USA | CS | 169 | 19 | 6 | 2016 | 2019 | Cloud computing | Digital Storage | Blockchain |
| Kantarci, B. | University of Ottawa | 9 | Canada | CS-MA | 155 | 17 | 7 | 2016 | 2019 | Mobile Crowdsensing | Data Acquisition | Crowdsensing |
| Al-Turjman, F. | Antalya Bilim University | 8 | Turkey | CS-E | 111 | 14 | 6 | 2018 | 2019 | Energy Utilization | Extensive Simulations | Power Management (telecommunication) |
| Park, J.H. | Seoul National University of Science and Technology | 8 | South Korea | CS-EY | 163 | 20 | 5 | 2017 | 2019 | Network Architecture | Blockchain | Network Security |
| Santana, J.R. | Universidad de Cantabria | 8 | Spain | E-CS | 383 | 48 | 6 | 2012 | 2019 | Internet | Testbed | Electronic Commerce |
| Barnaghi, P. | UK Dementia Research Institute | 7 | UK | CS-E | 148 | 21 | 6 | 2015 | 2019 | Data Mining | Semantics | Data Analytics |
| Guizani, M. | Qatar University | 7 | Qatar | CS-E | 99 | 14 | 6 | 2017 | 2019 | 5G Mobile Communication Systems | Blockchain | Device-to-Device Communications |
| Sotres, P. | Universidad de Cantabria | 7 | Spain | CS-E | 378 | 54 | 5 | 2012 | 2019 | Network Architecture | Electronic Commerce | Information and Communication Technologies |
| Zaslavsky, A. | Deakin University | 7 | Australia | CS-E | 583 | 83 | 5 | 2014 | 2019 | Waste Management | Internet | Waste Disposal |
| Cluster | Cluster Color (See in ) | % | Authors | Articles | Links | TLS | Citations |
|---|---|---|---|---|---|---|---|
| 1 | Pink | 54.92% | Liu Y. (*) | 11 | 49 | 53 | 189 |
| Zhang Y. | 11 | 41 | 46 | 139 | |||
| Liu X. | 10 | 36 | 40 | 147 | |||
| Wang X. | 8 | 29 | 29 | 88 | |||
| Zhou Y. | 7 | 27 | 30 | 119 | |||
| 2 | Green | 15.89% | Muñoz L. (*) | 10 | 31 | 57 | 681 |
| Skarmeta A.F. | 9 | 25 | 34 | 235 | |||
| Santana J.R. | 8 | 42 | 68 | 420 | |||
| Sotres P. | 7 | 25 | 49 | 412 | |||
| Barnaghi P. | 7 | 23 | 36 | 164 | |||
| 3 | Red | 15.66% | Choo K.-K.R. (*) | 9 | 33 | 36 | 242 |
| Kumar N. | 7 | 21 | 29 | 165 | |||
| Guizani M. | 7 | 25 | 26 | 164 | |||
| Paul A. | 6 | 11 | 22 | 485 | |||
| Rathore M.M. | 6 | 15 | 24 | 485 | |||
| 4 | Yellow | 5.90% | Zaslavsky A. (*) | 7 | 25 | 31 | 627 |
| Perera C. | 4 | 15 | 15 | 861 | |||
| Palaniswami M. | 4 | 14 | 18 | 636 | |||
| Vasilakos A.V. | 4 | 19 | 19 | 296 | |||
| Anagnostopoulos T. | 4 | 16 | 21 | 116 | |||
| 5 | Violet | 4.09% | Alonso-Záate J. (*) | 3 | 25 | 25 | 100 |
| Akkaya K. | 3 | 8 | 8 | 23 | |||
| Casellas R. | 2 | 30 | 32 | 76 | |||
| Verikoukis C. | 2 | 30 | 32 | 76 | |||
| Vilalta R. | 2 | 30 | 32 | 76 | |||
| 6 | Cyan | 1.97% | Fortino G. (*) | 5 | 16 | 23 | 405 |
| Russo W. | 3 | 7 | 14 | 100 | |||
| Savaglio C. | 3 | 7 | 14 | 100 | |||
| Pianini D. | 3 | 8 | 14 | 78 | |||
| Viroli M. | 3 | 8 | 14 | 78 | |||
| 7 | Orange | 1.5% | Dustdar S. (*) | 5 | 13 | 19 | 95 |
| Vögler M. | 4 | 11 | 15 | 88 | |||
| Inzinger C. | 3 | 4 | 9 | 76 | |||
| Schleicher J.M. | 3 | 4 | 9 | 76 | |||
| Truong H.-L. | 2 | 13 | 13 | 22 |
| Research Institution | A | Country | Subject Area | h * | 1A * | LA * | Keyword 1 | Keyword 2 | Keyword 3 |
|---|---|---|---|---|---|---|---|---|---|
| King Saud University | 20 | Saudi Arabia | CS-EN | 11 | 2013 | 2019 | Big Data | Deep Learning | Health Care |
| University of Surrey | 18 | UK | CS-EN | 9 | 2012 | 2019 | Data Mining | Information Management | Internet |
| University of Electronic Science and Technology of China | 17 | China | CS-EN | 8 | 2016 | 2019 | 5G Mobile Communication System | Cryptography | Data Communication System |
| Universidad de Cantabria | 17 | Spain | CS-EN | 10 | 2011 | 2019 | Internet | Electronic Commerce | Co-creation |
| Universidad de Murcia | 16 | Spain | CS-EN | 10 | 2013 | 2019 | Internet | Internet Protocol | Energy Efficiency |
| Alma Mater Studiorum Università di Bologna | 15 | Italy | CS-EN | 9 | 2013 | 2019 | Aggregate Computing | Distributed Computer System | Simulation |
| COMSATS University Islamabad | 15 | Pakistan | CS-EN | 8 | 2017 | 2019 | Automation | Intelligent Building | Energy Efficiency |
| Universitat Politècnica de Catalunya | 13 | Spain | EN-CS | 8 | 2015 | 2019 | Automation | Distributed Computer System | Energy |
| K L Deemed to be University | 13 | India | EN-CS | 2 | 2016 | 2019 | Security | Wireless Sensor Network | Air Pollution |
| Kyungpook National University | 12 | South Korea | CS-EN | 8 | 2016 | 2019 | Big Data | Automation | Intelligent Building |
| Cluster Number | Cluster Color (See in ) | % | Research Institution | Region, Country | A | L | C |
|---|---|---|---|---|---|---|---|
| 1 | Pink | 25% | Department of Embedded Systems Engineering (Incheon National University) | Incheon, South Korea | 2 | 5 | 41 |
| Department of Computer Science (Bahria University) | Islamabad, Pakistan | 1 | 4 | 2 | |||
| Department of Computer Science (National Textile University | Faisalabad, Pakistan | 1 | 4 | 2 | |||
| Department of Computer Science, University of Engineering and Technology | Taxila, Pakistan | 1 | 4 | 2 | |||
| School of Electronic Engineering (Xidian University) | Shaanxi, China | 1 | 4 | 2 | |||
| 2 | Green | 25% | School of Computer Science and Engineering, Kyungpook National University | Daegu, South Korea | 7 | 15 | 120 |
| Department of Computer Science and Information Technology, University of Ajk | Cachemira Azad, Pakistan | 1 | 2 | 38 | |||
| Department of Computer Science, S.S.D. Women’s Institute of Technology | Bathinda (Punjab), India | 1 | 1 | 14 | |||
| School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University | Daegu, South Korea | 1 | 2 | 42 | |||
| 3 | Red | 20% | Department of Computer Science, University of Peshawar | Peshawar, Pakistan | 1 | 4 | 2 |
| Department of Control and Computer Engineering (Dauin) | Torino, Italy | 1 | 4 | 2 | |||
| Faculty of Computing, University of Technology | Skudai, Malaysia | 1 | 4 | 2 | |||
| School of Computing, Universiti Utara Malaysia (UUM) | Kedah, Malaysia | 1 | 4 | 2 | |||
| 4 | Yellow | 15% | Big Data Analytics Research Group, Comsats Institute Sahiwal | Sahiwal, Pakistan | 1 | 3 | 8 |
| Department of Computer Science, Comsats Institute of Information Technology (Ciit) | Vehari, Pakistan | 1 | 3 | 8 | |||
| Department of Computer Science, Comsats Institute of Information Technology | Sahiwal, Pakistan | 1 | 3 | 8 | |||
| 5 | Violet | 15% | Department of Computer Software Engineering, National University of Sciences and Technology | Islamabad, Pakistan | 1 | 3 | 13 |
| Department of Information Communications Engineering, Hankuk University of Foreign Studies | Seoul, South Korea | 1 | 3 | 13 | |||
| Departmet of Computer Science, Sarhad University of Science and Information Technology | Peshawar, Pakistan | 1 | 3 | 13 |
| Country | A | % | Subject Area | h * | 1A * | LA * | Keyword 1 | Keyword 2 | Keyword 3 |
|---|---|---|---|---|---|---|---|---|---|
| China | 216 | 17.53 | CS-EN | 35 | 2011 | 2019 | Big Data | Network Security | Automation |
| USA | 201 | 16.31 | CS-EN | 37 | 2013 | 2019 | Big Data | Automation | Wireless Sensor Network |
| India | 195 | 15.83 | EN-CS | 20 | 2015 | 2019 | Wireless Sensor Network | Cloud Computing | Big Data |
| Spain | 137 | 11.12 | CS-EN | 26 | 2011 | 2019 | Internet | Energy Utilization | Wireless Sensor Network |
| Italy | 108 | 8.77 | CS-EN | 27 | 2012 | 2019 | Internet | Big Data | Wireless Sensor Network |
| UK | 104 | 8.44 | CS-EN | 29 | 2012 | 2019 | Internet | Big Data | Information Management |
| South Korea | 81 | 6.57 | CS-EN | 18 | 2013 | 2019 | Network Security | Automation | Big Data |
| Australia | 62 | 5.03 | CS-EN | 19 | 2014 | 2019 | Internet | Big Data | Cloud Computing |
| Canada | 55 | 4.46 | CS-EN | 16 | 2013 | 2019 | Automation | Big Data | Energy Efficiency |
| Pakistan | 53 | 4.30 | CS-EN | 14 | 2016 | 2019 | Big Data | Automation | Intelligent Building |
| Cluster | Cluster Color (See in ) | % | Country | Articles | Links | TLS | Citations |
|---|---|---|---|---|---|---|---|
| 1 | Pink | 47.56% | United States (∗) | 201 | 40 | 213 | 5441 |
| India | 195 | 33 | 77 | 1350 | |||
| United Kingdom | 104 | 38 | 165 | 3312 | |||
| South Korea | 81 | 26 | 89 | 1671 | |||
| Canada | 55 | 29 | 75 | 935 | |||
| 2 | Green | 23.17% | Spain (∗) | 137 | 33 | 127 | 5073 |
| Greece | 32 | 24 | 66 | 1213 | |||
| Russian | 15 | 16 | 30 | 500 | |||
| Netherlands | 13 | 12 | 15 | 108 | |||
| Belgium | 11 | 17 | 23 | 365 | |||
| 3 | Red | 8.54% | Australia (∗) | 62 | 29 | 85 | 2287 |
| Singapore | 10 | 8 | 15 | 166 | |||
| Nigeria | 4 | 4 | 4 | 287 | |||
| Bangladesh | 2 | 3 | 3 | 13 | |||
| Botswana | 1 | 2 | 2 | 10 | |||
| 4 | Yellow | 8.54% | China (∗) | 218 | 39 | 202 | 5002 |
| Japan | 22 | 9 | 18 | 310 | |||
| Hong Kong | 14 | 5 | 17 | 178 | |||
| Macau | 4 | 3 | 8 | 728 | |||
| Slovenia | 2 | 1 | 1 | 25 | |||
| 5 | Violet | 7.32% | Italy (∗) | 108 | 27 | 87 | 5856 |
| South Africa | 5 | 4 | 4 | 73 | |||
| Croatia | 4 | 3 | 3 | 21 | |||
| Benin | 1 | 1 | 1 | 4 | |||
| Chile | 1 | 2 | 2 | 9 | |||
| 6 | Cyan | 4.88% | Germany (∗) | 41 | 26 | 55 | 1136 |
| Bosnia and Herzegovina | 2 | 2 | 2 | 38 | |||
| Montenegro | 2 | 3 | 3 | 39 | |||
| Libyan | 1 | 1 | 1 | 0 |
| Research Line | Links | Total Link Strength | Description |
|---|---|---|---|
| Energy Storage | 67 | 71 | Efficient energy storage as an essential support for the energy transition and key to a decarbonized future. This allows flexibility in the production of renewable energy and guarantees its integration into the system. |
| Environmental Temperature | 48 | 48 | Development of measurement, instruments, and applications of sensors for environmental and urban temperature. Establish an intelligence guide to ambient temperature in the IoT environment. |
| Geographic Distribution | 48 | 48 | Use of remote sensors in the analysis of landscape fragmentation to monitor the patterns involved in fragmentation processes and thus avoid the loss of ecosystems and biodiversity. |
| Intentional Contaminations | 40 | 40 | Increased research on pollution sensors that measure environmental variables, such as the concentration of CO and particles in suspension, in addition to generating urban pollution maps by region. |
| Remote Health Monitoring | 32 | 32 | Remote patient monitoring technology that allows patient observation outside of conventional clinical settings. This will mean access to care and lower costs of medical care. |
| End Users | 29 | 30 | Training tools for end users of information systems. Study of the user experience in the positive evolution of the smart city based on IoT, from the comfort, security, and control associated with connectivity. Analysis of the perception of the benefits of the IoT by the end user, for example, in energy savings in the home or car or in a more efficient use of daily activities. |
| Electronic Crime Countermeasures | 28 | 28 | Protection against Computer Crime and Information Security, in addition to regulatory development. |
| Industrial Internet of Things (IIoT) | 26 | 27 | Development and extension of the use of the Internet of Things (IoT) in industrial sectors and applications, such as robotics, medical devices, and software-defined production processes. |
| Flood Control | 27 | 27 | Design and specifications of flood control systems with IoT sensors. Real-time control of flood control structures, using rainfall forecasts, sensor data, and water level and flow forecasts. |
| Social Internet of Things (SIoT) | 24 | 24 | Study of how the integration of the principles of social networks in the IoT generates social and economic impact among the information consuming society. |
Share and Cite
González-Zamar, M.-D.; Abad-Segura, E.; Vázquez-Cano, E.; López-Meneses, E. IoT Technology Applications-Based Smart Cities: Research Analysis. Electronics 2020 , 9 , 1246. https://doi.org/10.3390/electronics9081246
González-Zamar M-D, Abad-Segura E, Vázquez-Cano E, López-Meneses E. IoT Technology Applications-Based Smart Cities: Research Analysis. Electronics . 2020; 9(8):1246. https://doi.org/10.3390/electronics9081246
González-Zamar, Mariana-Daniela, Emilio Abad-Segura, Esteban Vázquez-Cano, and Eloy López-Meneses. 2020. "IoT Technology Applications-Based Smart Cities: Research Analysis" Electronics 9, no. 8: 1246. https://doi.org/10.3390/electronics9081246
Article Metrics
Article access statistics, further information, mdpi initiatives, follow mdpi.
Subscribe to receive issue release notifications and newsletters from MDPI journals
Advertisement
A Contemporary Survey on IoT Based Smart Cities: Architecture, Applications, and Open Issues
- Published: 18 March 2022
- Volume 125 , pages 2319–2367, ( 2022 )
Cite this article
- Shwet Ketu 1 &
- Pramod Kumar Mishra 1
1003 Accesses
15 Citations
Explore all metrics
Internet of Things (IoT) is one of the emerging technologies, which is widely used across the globe. As the idea of a smart city was founded, IoT has been acknowledged as the key foundation in smart city paradigms. Technology makes a person smart, and to make the world smart, we have to make the country smart. To make the country smart, we have to make cities smart and to make smart cities, we have to be smart. In short, to create a smart environment, one must be equipped and familiar with the current trends. The integration of various smart devices and systems facilitates IoT for a smart city. The interdependent and interwoven nature of smart cities puts notable legislative, socioeconomic, and technical challenges for integrators, organizations, and designers committed to administrating these novel entities. The goal of this paper is to illustrate a contemporary survey of IoT-based smart cities with their potential, current trends and developments, amenity architecture, application area, real-world involvement, and open challenges. In addition, key elements with potential implementation constraints and integration of various IoT-based application areas that play a key role in building a smarter city have also been discussed. This extensive study contributes a useful panorama on various key points and gives a critical direction for forthcoming investigations. This study will also provide a reference point for practitioners and academics in the near future.
This is a preview of subscription content, log in via an institution to check access.
Access this article
Subscribe and save.
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Price excludes VAT (USA) Tax calculation will be finalised during checkout.
Instant access to the full article PDF.
Rent this article via DeepDyve
Institutional subscriptions
Similar content being viewed by others
X-IoT: Architecture and Use Cases for an IoT Platform in the Area of Smart Cities
Smart Cities, Connected World, and Internet of Things
Author information
Authors and affiliations.
Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India
Shwet Ketu & Pramod Kumar Mishra
You can also search for this author in PubMed Google Scholar
Corresponding author
Correspondence to Shwet Ketu .
Additional information
Publisher's note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Reprints and permissions
About this article
Ketu, S., Mishra, P.K. A Contemporary Survey on IoT Based Smart Cities: Architecture, Applications, and Open Issues. Wireless Pers Commun 125 , 2319–2367 (2022). https://doi.org/10.1007/s11277-022-09658-2
Download citation
Accepted : 07 February 2022
Published : 18 March 2022
Issue Date : August 2022
DOI : https://doi.org/10.1007/s11277-022-09658-2
Share this article
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
- Internet of things (IoT)
- Smart devices
- Smarter world
- IoT-based smart application
- Find a journal
- Publish with us
- Track your research
IEEE Account
- Change Username/Password
- Update Address
Purchase Details
- Payment Options
- Order History
- View Purchased Documents
Profile Information
- Communications Preferences
- Profession and Education
- Technical Interests
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
IMAGES
COMMENTS
The IoT for Smart Cities has many different domains and draws upon various underlying systems for its operation. In this paper, we provide a holistic coverage of the Internet of Things in Smart ...
Smart cities rely mainly on the Internet of Things (IoT) to make an urban area smart to offer its citizens a high quality of life with optimal use of resources and preservation of the environment. IoT is the key component that collects raw data on the surrounding environment to be analyzed to extract information that supports decision-making. The widespread use of IoT results in the emergence ...
1 INTRODUCTION. Internet of Things (IoT) is a network in which smart systems, that is, appliances, buildings, homes, vehicles, power generation, distribution and utilization centres supported with advance electronic sensors and actuators are connected and controlled via advanced communication and automation technologies [1, 2].IoT based technologies are rapidly growing at local, residential ...
Guided by the study of Della Corte et al. [91], we begin the analysis by tracing the growth of scientific research into the IoT and the smart city. Figure 1 depicts the annual distribution of journal articles, showing a steep increase in the number of articles published since 2011. During the introductory period from 2011 to 2012, research on the IoT and the smart city was scarce, with only a ...
From the discussion in this paper, there are several suggestions that can be made when using IoT for smart city projects. A major research area is in the security and privacy of IoT in smart cities in terms of encryption techniques, authentication protocols, data anonymization techniques and other methods to prevent unvalidated access to the ...
Smart cities, as the name indicates, are the smart control of the cities by the use of various electronic methods, sensors, advanced communication techniques, etc. Here is where IoT (Internet of Things) plays a major role. IoT is used in creating smart cities to set up a firm connection between the sensors, devices, and networks that are used ...
This paper is about implementing IoT in smart cities, where it focused on integrating smart infrastructure, smart homes, and smart industry within a single smart city. It will also discuss the ... IoT in smart cities research over the years? The objective of RQ1 is to search for high-quality research articles
In this paper, a review of the recent research literature on IoT-enabled smart cities framework was performed. The rationale behind this study was the requirement to understand and classify the most recent trends in the adoption of IoT technologies as a key driver for the efficient and sustainable development of smart cities.
In this paper, the focus is set on the Internet of Things (IoT) as an enabling technology for the Smart City. In this sense, the paper reviews the current landscape of IoT-enabled Smart Cities, surveying relevant experiences and city initiatives that have embedded IoT within their city services and how they have generated an impact.
3. Review of IoT-Enabled Smart City Components and Solutions. There is a wide range of research literature regarding IoT application in smart city contexts. A search of the Web of Science (WoS) database for papers containing the key-words "smart city" OR "smart cities" AND "IoT" OR "Internet of things" in their topic.
Cities are expected to face daunting challenges due to the increasing population in the near future, putting immense strain on urban resources and infrastructures. In recent years, numerous studies have been developed to investigate different aspects of implementing IoT in the context of smart cities. This has led the current body of literature to become fairly fragmented. Correspondingly ...
In this paper, we first present the smart city concept, the background of smart city development and the components of the IoT-based smart city. This is followed up by a literature review of the research literature on the most recent IoT-enabled smart cities developments and breakthroughs empowered by AI techniques to highlight the current ...
Evolution in ICT and information sharing technology are the drivers of smart city scope and scale. This rapid evolution is revolutionizing smart city construction with the dawn of Internet of Things (IoT). This revolution also represents challenges in constructing Kehua, Li, and Fu (Su et al., 2011 ).
This paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban services. IoT and machine learning have emerged as key technologies for enabling smart city solutions that ...
The notion of smart cities has remained under evolution as its global implementations are challenged by numerous technological, economic, and governmental obstacles. Moreover, the synergy of the Internet of Things (IoT) and big data technologies could result in promising horizons in terms of smart city development which has not been explored yet. Thus, the current research aims to address the ...
The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such as increases in energy consumption, and produces toxic pollution as well as E-waste in smart cities. Smart city applications must be environmentally-friendly, hence require a ...
The aim of this study was to analyze the evolution of scientific production and research trends at a global level, over the last 9 years (2011-2019), on smart cities based on IoT technology applications. To this, a bibliometric analysis of a sample of 1232 articles obtained from the Scopus database has been developed.
This paper hence provides a comprehensive survey of the enabling technologies, protocols, and architecture for an urban IoT. Furthermore, the paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy ...
2 Internet of Things and Smart City. In the recent literature, several authors have pro vided definitions. for the term Internet of Things [4] [5] [6]. IoT may be defined as. "Objects having ...
The new Internet of Things (IoT) applications are enabling Smart City initiatives worldwide. It provides the ability to remotely monitor, manage and control devices, and to create new insights and actionable information from massive streams of real-time data. The main features of a smart city include a high degree of information technology ...
Internet of Things (IoT) is one of the emerging technologies, which is widely used across the globe. As the idea of a smart city was founded, IoT has been acknowledged as the key foundation in smart city paradigms. Technology makes a person smart, and to make the world smart, we have to make the country smart. To make the country smart, we have to make cities smart and to make smart cities, we ...
Abstract—The massive deployment of Internet of Things. (IoT) is allowing Smart C ity pr ojects and initiatives all o ver. the world. The I oT is a modular approach to merge v arious. sensors ...
A smart city evolves with the use of emerging smart technologies to support and sustain a better living and to improve the overall quality of life of its citizens. Internet of Things (IoT) and Artificial Intelligence (AI) play a pivotal role in building smart cities. IoT is a pervasive network of objects where each object is connected, has a unique internet address, and is accessible from ...
Moreover, this paper describes the main challenges and weaknesses of applying the IoT technologies based on smart city paradigms. Published in: 2018 International Symposium on Networks, Computers and Communications (ISNCC) Date of Conference: 19-21 June 2018. Date Added to IEEE Xplore: 11 November 2018. ISBN Information: