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Internet of Things and Smart Cities: A Bibliometric Analysis

Year 2021, Volume: 3 Issue: 1, 27 - 44, 30.06.2021

Abstract

For several years, the 21st century has seen a global shift toward concentrated population in a select few metropolitan cities. However, being a larger and more crowded city has certain advantages, such as being more productive, innovative, and taking progressive environmental action. Additionally, major cities present many positives, such as development, traffic congestion, garbage management, access to resources, and negatives, such as unregulated growth, worsened traffic, garbage collection issues, and limits on resources. Conversely, the global economy has increased connectivity between cities worldwide in hitherto unseen ways of competitiveness. Experiments in urban infrastructure and services, usually referred to as Smart Cities, are related to difficulties. A number of these methods could be used in the future to address new information technology jobs. The smart city concept revolves around organizational structures and urban life in a new form that is expected to shift production and consumption from the global to the local, with business remaining with multi-stakeholder shareholders. One of the critical problems in these new cities is implementing information technology, especially the internet of things. Through a bibliometric examination of studies published in SCOPUS and Web of Science on the ideas of smart cities and the internet of things, this research uncovered some insights about the academic climate in the field. For example, the field's active actors (writers, institutions, and countries, for example) were identified, and their contributions were attempted to be exposed. Among the research findings is a content analysis of terms used in related studies and the evolution and interplay of concepts across time. This study has presented an overview of the field and several predictions about the possible directions it will go in the future.

References

  • Ahmed, S.H., Rani, S., 2018. A hybrid approach, Smart Street use case and future aspects for Internet of Things in smart cities. Future Generation Computer Systems 79, 941–951.
  • Alavi, A.H., Jiao, P., Buttlar, W.G., Lajnef, N., 2018. Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement 129, 589–606.
  • AlZubi, A.A., Alarifi, A., Al-Maitah, M., Alheyasat, O., 2021. Multi-sensor information fusion for Internet of Things assisted automated guided vehicles in smart city. Sustainable Cities and Society 64, 102539.
  • Angelidou, M., Psaltoglou, A., Komninos, N., Kakderi, C., Tsarchopoulos, P., Panori, A., 2017. Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management 9, 146–169.
  • Anguraj, D.K., Balasubramaniyan, S., Saravana Kumar, E., Vakula Rani, J., Ashwin, M., 2021. Internet of things (IoT)-based unmanned intelligent street light using renewable energy. International Journal of Intelligent Unmanned Systems ahead-of-print.
  • Aria, M., Cuccurullo, C., 2017. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics 11, 959–975.
  • Babar, M., Khattak, A.S., Jan, M.A., Tariq, M.U., 2021. Energy aware smart city management system using data analytics and Internet of Things. Sustainable Energy Technologies and Assessments 44, 100992.
  • Bedi, P., Ponnusamy, M., Ashokkumar, P., Saranya, S., Hariharan, S., 2021. Internet of things oriented elegant parking method for smart cities. Materials Today: Proceedings.
  • Bibri, S.E., 2018. The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable Cities and Society 38, 230–253.
  • Bogatinoska, D.C., Malekian, R., Trengoska, J., Nyako, W.A., 2016. Advanced sensing and internet of things in smart cities. In: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Presented at the 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 632–637.
  • Bresciani, S., Ferraris, A., Del Giudice, M., 2018. The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects. Technological Forecasting and Social Change 136, 331–338.
  • Chatterjee, S., Kar, A.K., 2017. Effects of successful adoption of information technology enabled services in proposed smart cities of India: From user experience perspective. Journal of Science and Technology Policy Management 9, 189–209.
  • Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F., 2011. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics 5, 146–166.
  • Gamil, Y., A. Abdullah, M., Abd Rahman, I., Asad, M.M., 2020. Internet of things in construction industry revolution 4.0: Recent trends and challenges in the Malaysian context. Journal of Engineering, Design and Technology 18, 1091–1102.
  • Gheisari, M., Wang, G., Chen, S., 2020. An Edge Computing-enhanced Internet of Things Framework for Privacy-preserving in Smart City. Computers & Electrical Engineering 81, 106504.
  • Hoffman, D.L., De Leeuw, J., 1992. Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters 3, 259–272.
  • Huang, X., 2020. Multi-node topology location model of smart city based on Internet of Things. Computer Communications 152, 282–295.
  • Janssen, M., Luthra, S., Mangla, S., Rana, N.P., Dwivedi, Y.K., 2019. Challenges for adopting and implementing IoT in smart cities: An integrated MICMAC-ISM approach. Internet Research 29, 1589–1616.
  • Jiang, D., Zhang, P., Lv, Z., Song, H., 2016. Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications. IEEE Internet of Things Journal 3, 1437–1447.
  • Karnouskos, S., Holanda, T.N. de, 2009. Simulation of a Smart Grid City with Software Agents. In: 2009 Third UKSim European Symposium on Computer Modeling and Simulation. Presented at the 2009 Third UKSim European Symposium on Computer Modeling and Simulation, pp. 424–429.
  • Khajenasiri, I., Estebsari, A., Verhelst, M., Gielen, G., 2017. A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications. Energy Procedia, 8th International Conference on Sustainability in Energy and Buildings, SEB-16, 11-13 September 2016, Turin, Italy 111, 770–779.
  • Kim, L., Portenoy, J.H., West, J.D., Stovel, K.W., 2020. Scientific journals still matter in the era of academic search engines and preprint archives. Journal of the Association for Information Science and Technology 71, 1218–1226.
  • Kleinberg, J., 2003. Bursty and Hierarchical Structure in Streams. Data Mining and Knowledge Discovery 7, 373–397.
  • Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., Zhao, W., 2017. A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal 4, 1125–1142.
  • Liu, K., Bi, Y., Liu, D., 2020. Internet of Things based acquisition system of industrial intelligent bar code for smart city applications. Computer Communications 150, 325–333.
  • Lytras, M.D., Visvizi, A., Chopdar, P.K., Sarirete, A., Alhalabi, W., 2021. Information Management in Smart Cities: Turning end users’ views into multi-item scale development, validation, and policy-making recommendations. International Journal of Information Management 56, 102146.
  • Ma, Y., Ping, K., Wu, C., Chen, L., Shi, H., Chong, D., 2019. Artificial Intelligence powered Internet of Things and smart public service. Library Hi Tech 38, 165–179.
  • Macke, J., Casagrande, R.M., Sarate, J.A.R., Silva, K.A., 2018. Smart city and quality of life: Citizens’ perception in a Brazilian case study. Journal of Cleaner Production 182, 717–726.
  • Majeed, U., Khan, L.U., Yaqoob, I., Kazmi, S.M.A., Salah, K., Hong, C.S., 2021. Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges. Journal of Network and Computer Applications 181, 103007.
  • Orsino, A., Araniti, G., Militano, L., Alonso-Zarate, J., Molinaro, A., Iera, A., 2016. Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications. Sensors 16, 836.
  • Pinochet, L.H.C., Romani, G.F., de Souza, C.A., Rodríguez-Abitia, G., 2018. Intention to live in a smart city based on its characteristics in the perception by the young public. Revista de Gestão 26, 73–92.
  • Plageras, A.P., Psannis, K.E., Stergiou, C., Wang, H., Gupta, B.B., 2018. Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings. Future Generation Computer Systems 82, 349–357.
  • Prakash, A., 2019. Smart Cities Mission in India: some definitions and considerations. Smart and Sustainable Built Environment 8, 322–337.
  • Qureshi, K.N., Rana, S.S., Ahmed, A., Jeon, G., 2020. A novel and secure attacks detection framework for smart cities industrial internet of things. Sustainable Cities and Society 61, 102343.
  • Raghuvanshi, A., Singh, U.K., 2020. Internet of Things for smart cities- security issues and challenges. Materials Today: Proceedings.
  • Rathore, M.M., Ahmad, A., Paul, A., Rho, S., 2016. Urban planning and building smart cities based on the Internet of Things using Big Data analytics. Computer Networks, Industrial Technologies and Applications for the Internet of Things 101, 63–80.
  • Roy, J., 2001. Rethinking communities: Aligning technology & governance. LAC Carling Government’s Review 6–11.
  • Sestino, A., Prete, M.I., Piper, L., Guido, G., 2020. Internet of Things and Big Data as enablers for business digitalization strategies. Technovation 98, 102173.
  • Shafiq, M., Tian, Z., Sun, Y., Du, X., Guizani, M., 2020. Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city. Future Generation Computer Systems 107, 433–442.
  • Sharma, M., Joshi, S., Kannan, D., Govindan, K., Singh, R., Purohit, H.C., 2020. Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context. Journal of Cleaner Production 270, 122047.
  • Singh, S., Sharma, P.K., Yoon, B., Shojafar, M., Cho, G.H., Ra, I.-H., 2020. Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable Cities and Society 63, 102364.
  • Teng, H., Dong, M., Liu, Y., Tian, W., Liu, X., 2021. A low-cost physical location discovery scheme for large-scale Internet of Things in smart city through joint use of vehicles and UAVs. Future Generation Computer Systems 118, 310–326.
  • Teng, H., Liu, Y., Liu, A., Xiong, N.N., Cai, Z., Wang, T., Liu, X., 2019. A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities. Future Generation Computer Systems 94, 351–367.
  • Yeh, H., 2017. The effects of successful ICT-based smart city services: From citizens’ perspectives. Government Information Quarterly 34, 556–565.
  • Yu, W., Liang, F., He, X., Hatcher, W.G., Lu, C., Lin, J., Yang, X., 2018. A Survey on the Edge Computing for the Internet of Things. IEEE Access 6, 6900–6919.
  • Zhang, C., 2020. Design and application of fog computing and Internet of Things service platform for smart city. Future Generation Computer Systems 112, 630–640.
  • Zhang, W., Wu, Z., Han, G., Feng, Y., Shu, L., 2020. LDC: A lightweight dada consensus algorithm based on the blockchain for the industrial Internet of Things for smart city applications. Future Generation Computer Systems 108, 574–582.
Year 2021, Volume: 3 Issue: 1, 27 - 44, 30.06.2021

Abstract

References

  • Ahmed, S.H., Rani, S., 2018. A hybrid approach, Smart Street use case and future aspects for Internet of Things in smart cities. Future Generation Computer Systems 79, 941–951.
  • Alavi, A.H., Jiao, P., Buttlar, W.G., Lajnef, N., 2018. Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement 129, 589–606.
  • AlZubi, A.A., Alarifi, A., Al-Maitah, M., Alheyasat, O., 2021. Multi-sensor information fusion for Internet of Things assisted automated guided vehicles in smart city. Sustainable Cities and Society 64, 102539.
  • Angelidou, M., Psaltoglou, A., Komninos, N., Kakderi, C., Tsarchopoulos, P., Panori, A., 2017. Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management 9, 146–169.
  • Anguraj, D.K., Balasubramaniyan, S., Saravana Kumar, E., Vakula Rani, J., Ashwin, M., 2021. Internet of things (IoT)-based unmanned intelligent street light using renewable energy. International Journal of Intelligent Unmanned Systems ahead-of-print.
  • Aria, M., Cuccurullo, C., 2017. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics 11, 959–975.
  • Babar, M., Khattak, A.S., Jan, M.A., Tariq, M.U., 2021. Energy aware smart city management system using data analytics and Internet of Things. Sustainable Energy Technologies and Assessments 44, 100992.
  • Bedi, P., Ponnusamy, M., Ashokkumar, P., Saranya, S., Hariharan, S., 2021. Internet of things oriented elegant parking method for smart cities. Materials Today: Proceedings.
  • Bibri, S.E., 2018. The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable Cities and Society 38, 230–253.
  • Bogatinoska, D.C., Malekian, R., Trengoska, J., Nyako, W.A., 2016. Advanced sensing and internet of things in smart cities. In: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Presented at the 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 632–637.
  • Bresciani, S., Ferraris, A., Del Giudice, M., 2018. The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects. Technological Forecasting and Social Change 136, 331–338.
  • Chatterjee, S., Kar, A.K., 2017. Effects of successful adoption of information technology enabled services in proposed smart cities of India: From user experience perspective. Journal of Science and Technology Policy Management 9, 189–209.
  • Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F., 2011. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics 5, 146–166.
  • Gamil, Y., A. Abdullah, M., Abd Rahman, I., Asad, M.M., 2020. Internet of things in construction industry revolution 4.0: Recent trends and challenges in the Malaysian context. Journal of Engineering, Design and Technology 18, 1091–1102.
  • Gheisari, M., Wang, G., Chen, S., 2020. An Edge Computing-enhanced Internet of Things Framework for Privacy-preserving in Smart City. Computers & Electrical Engineering 81, 106504.
  • Hoffman, D.L., De Leeuw, J., 1992. Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters 3, 259–272.
  • Huang, X., 2020. Multi-node topology location model of smart city based on Internet of Things. Computer Communications 152, 282–295.
  • Janssen, M., Luthra, S., Mangla, S., Rana, N.P., Dwivedi, Y.K., 2019. Challenges for adopting and implementing IoT in smart cities: An integrated MICMAC-ISM approach. Internet Research 29, 1589–1616.
  • Jiang, D., Zhang, P., Lv, Z., Song, H., 2016. Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications. IEEE Internet of Things Journal 3, 1437–1447.
  • Karnouskos, S., Holanda, T.N. de, 2009. Simulation of a Smart Grid City with Software Agents. In: 2009 Third UKSim European Symposium on Computer Modeling and Simulation. Presented at the 2009 Third UKSim European Symposium on Computer Modeling and Simulation, pp. 424–429.
  • Khajenasiri, I., Estebsari, A., Verhelst, M., Gielen, G., 2017. A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications. Energy Procedia, 8th International Conference on Sustainability in Energy and Buildings, SEB-16, 11-13 September 2016, Turin, Italy 111, 770–779.
  • Kim, L., Portenoy, J.H., West, J.D., Stovel, K.W., 2020. Scientific journals still matter in the era of academic search engines and preprint archives. Journal of the Association for Information Science and Technology 71, 1218–1226.
  • Kleinberg, J., 2003. Bursty and Hierarchical Structure in Streams. Data Mining and Knowledge Discovery 7, 373–397.
  • Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., Zhao, W., 2017. A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal 4, 1125–1142.
  • Liu, K., Bi, Y., Liu, D., 2020. Internet of Things based acquisition system of industrial intelligent bar code for smart city applications. Computer Communications 150, 325–333.
  • Lytras, M.D., Visvizi, A., Chopdar, P.K., Sarirete, A., Alhalabi, W., 2021. Information Management in Smart Cities: Turning end users’ views into multi-item scale development, validation, and policy-making recommendations. International Journal of Information Management 56, 102146.
  • Ma, Y., Ping, K., Wu, C., Chen, L., Shi, H., Chong, D., 2019. Artificial Intelligence powered Internet of Things and smart public service. Library Hi Tech 38, 165–179.
  • Macke, J., Casagrande, R.M., Sarate, J.A.R., Silva, K.A., 2018. Smart city and quality of life: Citizens’ perception in a Brazilian case study. Journal of Cleaner Production 182, 717–726.
  • Majeed, U., Khan, L.U., Yaqoob, I., Kazmi, S.M.A., Salah, K., Hong, C.S., 2021. Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges. Journal of Network and Computer Applications 181, 103007.
  • Orsino, A., Araniti, G., Militano, L., Alonso-Zarate, J., Molinaro, A., Iera, A., 2016. Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications. Sensors 16, 836.
  • Pinochet, L.H.C., Romani, G.F., de Souza, C.A., Rodríguez-Abitia, G., 2018. Intention to live in a smart city based on its characteristics in the perception by the young public. Revista de Gestão 26, 73–92.
  • Plageras, A.P., Psannis, K.E., Stergiou, C., Wang, H., Gupta, B.B., 2018. Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings. Future Generation Computer Systems 82, 349–357.
  • Prakash, A., 2019. Smart Cities Mission in India: some definitions and considerations. Smart and Sustainable Built Environment 8, 322–337.
  • Qureshi, K.N., Rana, S.S., Ahmed, A., Jeon, G., 2020. A novel and secure attacks detection framework for smart cities industrial internet of things. Sustainable Cities and Society 61, 102343.
  • Raghuvanshi, A., Singh, U.K., 2020. Internet of Things for smart cities- security issues and challenges. Materials Today: Proceedings.
  • Rathore, M.M., Ahmad, A., Paul, A., Rho, S., 2016. Urban planning and building smart cities based on the Internet of Things using Big Data analytics. Computer Networks, Industrial Technologies and Applications for the Internet of Things 101, 63–80.
  • Roy, J., 2001. Rethinking communities: Aligning technology & governance. LAC Carling Government’s Review 6–11.
  • Sestino, A., Prete, M.I., Piper, L., Guido, G., 2020. Internet of Things and Big Data as enablers for business digitalization strategies. Technovation 98, 102173.
  • Shafiq, M., Tian, Z., Sun, Y., Du, X., Guizani, M., 2020. Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city. Future Generation Computer Systems 107, 433–442.
  • Sharma, M., Joshi, S., Kannan, D., Govindan, K., Singh, R., Purohit, H.C., 2020. Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context. Journal of Cleaner Production 270, 122047.
  • Singh, S., Sharma, P.K., Yoon, B., Shojafar, M., Cho, G.H., Ra, I.-H., 2020. Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable Cities and Society 63, 102364.
  • Teng, H., Dong, M., Liu, Y., Tian, W., Liu, X., 2021. A low-cost physical location discovery scheme for large-scale Internet of Things in smart city through joint use of vehicles and UAVs. Future Generation Computer Systems 118, 310–326.
  • Teng, H., Liu, Y., Liu, A., Xiong, N.N., Cai, Z., Wang, T., Liu, X., 2019. A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities. Future Generation Computer Systems 94, 351–367.
  • Yeh, H., 2017. The effects of successful ICT-based smart city services: From citizens’ perspectives. Government Information Quarterly 34, 556–565.
  • Yu, W., Liang, F., He, X., Hatcher, W.G., Lu, C., Lin, J., Yang, X., 2018. A Survey on the Edge Computing for the Internet of Things. IEEE Access 6, 6900–6919.
  • Zhang, C., 2020. Design and application of fog computing and Internet of Things service platform for smart city. Future Generation Computer Systems 112, 630–640.
  • Zhang, W., Wu, Z., Han, G., Feng, Y., Shu, L., 2020. LDC: A lightweight dada consensus algorithm based on the blockchain for the industrial Internet of Things for smart city applications. Future Generation Computer Systems 108, 574–582.
There are 47 citations in total.

Details

Primary Language English
Journal Section Review Article
Authors

Bülent Yıldız 0000-0002-5368-2805

Publication Date June 30, 2021
Acceptance Date June 26, 2021
Published in Issue Year 2021 Volume: 3 Issue: 1

Cite

APA Yıldız, B. (2021). Internet of Things and Smart Cities: A Bibliometric Analysis. Quantrade Journal of Complex Systems in Social Sciences, 3(1), 27-44.

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