Mapping the Journey of Internet of Things (IoT) Research: A Bibliometric Analysis of Technology Advancements and Research Focus
DOI:
https://doi.org/10.58812/wsis.v1i08.181Keywords:
Internet of Things, Technology, Focus, Bibliometric AnalysisAbstract
The Internet of Things (IoT) has ushered in a new era of connectivity, transforming industries and societies across the globe. This research delves into the IoT research landscape through a comprehensive bibliometric analysis, unveiling technological trends and research focuses. The methodology encompasses data collection, preprocessing, advanced bibliometric techniques, and visualization tools. Results highlight key contributors, collaborative networks, research themes, and influential works. Through analysis and visualization, we gain insights into the trajectory of IoT research, its multidisciplinary nature, and the evolving challenges it addresses. This study serves as a compass for researchers, policymakers, and practitioners navigating the intricate IoT ecosystem.
References
N. A. Megahed and A. M. Hassan, “Evolution of BIM to DTs: A Paradigm Shift for the Post-Pandemic AECO Industry,” Urban Sci., vol. 6, no. 4, p. 67, 2022.
H. Al-Sakran, Y. Alharbi, and I. Serguievskaia, “Framework architecture for securing IoT using blockchain, smart contract and software defined network technologies,” in 2019 2nd international conference on new trends in computing sciences (ICTCS), IEEE, 2019, pp. 1–6.
E. Ezema, A. Abdullah, and N. F. B. Mohd, “Open issues and security challenges of data communication channels in distributed Internet of Things (IoT): a survey,” Circ. Comput. Sci, vol. 3, no. 1, pp. 22–32, 2018.
A. Jaklič, “Iot as an introduction to computer science and engineering: A case for nodemcu in stem-c education,” in 2020 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2020, pp. 91–95.
- Kurniawan, A. Maulana, and Y. Iskandar, “The Effect of Technology Adaptation and Government Financial Support on Sustainable Performance of MSMEs during the COVID-19 Pandemic,” Cogent Bus. Manag., vol. 10, no. 1, p. 2177400, 2023.
A. Ardhiyansyah and U. B. Jaman, “Omnichannel Changing Hedonic Motivational Behavior? Creating Shopping Experience and Satisfaction Against Consumer Loyalty,” Es Econ. Entrep., vol. 1, no. 03, pp. 114–124, 2023.
Y. Iskandar and U. Kaltum, “BARRIERS AND DRIVERS OF SOCIAL ENTERPRISE PERFORMANCE IN INDONESIA’S SOCIAL ENTERPRISES: A QUALITATIVE STUDY WITH OWNERS AND MANAGERS,” J. Bisnisman Ris. Bisnis dan Manaj., vol. 3, no. 1, pp. 54–67, 2021.
S. Pramanik, D. S. Sakkari, and S. Pramanik, “Ensure the dynamic identity and PUF based authenticated key settlement approach for the IoT infrastructure,” Proc. Indian Natl. Sci. Acad., vol. 88, no. 4, pp. 670–687, 2022.
R. Chowdhury, S. Kumar, S. Suman, and A. Manna, “IoT based shoe eye strewing new–fangled vision for visually impaired ones,” in Proceedings of the International Conference on Innovative Computing & Communications (ICICC), 2020.
M. Bathre and P. K. Das, “Review on An Energy Efficient, Sustainable and Green Internet of Things,” in 2nd International Conference on Data, Engineering and Applications (IDEA), IEEE, 2020, pp. 1–6.
K. Abouelmehdi, A. Beni-Hessane, and H. Khaloufi, “Big healthcare data: preserving security and privacy,” J. big data, vol. 5, no. 1, pp. 1–18, 2018.
M. Kaur, M. Z. Khan, S. Gupta, and A. Alsaeedi, “Adoption of blockchain with 5G networks for industrial IoT: recent advances, challenges, and potential solutions,” IEEE Access, vol. 10, pp. 981–997, 2021.
E. Bout, V. Loscri, and A. Gallais, “Evolution of IoT Security: the era of smart attacks,” IEEE Internet Things Mag., vol. 5, no. 1, pp. 108–113, 2022.
V. Mähler, “The thing about the Internet of Things: scoping the social science discourse in IoT research,” in Internet of Things. A Confluence of Many Disciplines: Second IFIP International Cross-Domain Conference, IFIPIoT 2019, Tampa, FL, USA, October 31–November 1, 2019, Revised Selected Papers 2, Springer, 2020, pp. 235–251.
M. A. Rahim, M. A. Rahman, M. M. Rahman, A. T. Asyhari, M. Z. A. Bhuiyan, and D. Ramasamy, “Evolution of IoT-enabled connectivity and applications in automotive industry: A review,” Veh. Commun., vol. 27, p. 100285, 2021.
R. Abatecola, “IoT Applications--Healthcare and Security Case Study (Fast Abstract),” in Proceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference-Volume 03, 2015, pp. 674–675.
M. Melek and A. Khattab, “Joint sparse recovery in precision agriculture WSN and IoT applications,” in 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), IEEE, 2021, pp. 506–511.
T. Sultan, “Internet of Things-IOT: definition, architecture and applications,” Egypt J. Appl. Sci., vol. 34, no. 1, pp. 81–95, 2019.
N. Nikolov, O. Nakov, and D. Gotseva, “Research of MQTT versus LwM2M IoT communication protocols for IoT,” in 2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), IEEE, 2021, pp. 45–48.
A. Bhardwaj, K. Kaushik, S. Bharany, M. F. Elnaggar, M. I. Mossad, and S. Kamel, “Comparison of IoT Communication Protocols Using Anomaly Detection with Security Assessments of Smart Devices,” Processes, vol. 10, no. 10, p. 1952, 2022.
A. O. Bang, U. P. Rao, A. Visconti, A. Brighente, and M. Conti, “An iot inventory before deployment: a survey on iot protocols, communication technologies, vulnerabilities, attacks, and future research directions,” Comput. Secur., p. 102914, 2022.
S. Sezer, “T1C: IoT Security:-Threats, security challenges and IoT security research and technology trends,” in 2018 31st IEEE International System-on-Chip Conference (SOCC), IEEE, 2018, pp. 1–2.
I. H. Sarker, A. I. Khan, Y. B. Abushark, and F. Alsolami, “Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions,” Mob. Networks Appl., pp. 1–17, 2022.
J. Mohanty, S. Mishra, S. Patra, B. Pati, and C. R. Panigrahi, “IoT security, challenges, and solutions: a review,” Prog. Adv. Comput. Intell. Eng. Proc. ICACIE 2019, Vol. 2, pp. 493–504, 2021.
M. Driss, D. Hasan, W. Boulila, and J. Ahmad, “Microservices in IoT security: current solutions, research challenges, and future directions,” Procedia Comput. Sci., vol. 192, pp. 2385–2395, 2021.
F. Piccialli, P. Benedusi, L. Carratore, and G. Colecchia, “An IoT data analytics approach for cultural heritage,” Pers. Ubiquitous Comput., vol. 24, pp. 429–436, 2020.
C. Liu, Y. Feng, D. Lin, L. Wu, and M. Guo, “Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques,” Int. J. Prod. Res., vol. 58, no. 17, pp. 5113–5131, 2020.
C. Dabas, “Recent research on data analytics techniques for internet of things,” in Advances in Computing and Data Sciences: Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part I 3, Springer, 2019, pp. 462–476.
X. Xie, D. Wu, S. Liu, and R. Li, “IoT data analytics using deep learning,” arXiv Prepr. arXiv1708.03854, 2017.
P. Zaharias, “E-Learning Design Quality,” Encycl. distance Learn., pp. 763–771, 2005.
U. B. Jaman, “Legal Analysis of The Impact of Industrial Development on The Environment,” Easta J. Law Hum. Rights, vol. 1, no. 03, pp. 87–92, 2023.
Y. Iskandar, J. Joeliaty, U. Kaltum, and H. Hilmiana, “Bibliometric analysis on social entrepreneurship specialized journals,” WSEAS Trans. Environ. Dev., vol. 17, pp. 941–951, 2021, doi: 10.37394/232015.2021.17.87.
M. S. Satar, D. Aggarwal, R. Bansal, and G. Alarifi, “Mapping the Knowledge Structure and Unveiling the Research Trends in Social Entrepreneurship and Inclusive Development: A Bibliometric Analysis,” Sustainability, vol. 15, no. 7, p. 5626, 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Adi Nugroho Susanto Putro, Agung Nugroho
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Facebook 
Instagram 
Twitter 
Youtube 
+62 821 1557 5700 
info@westscience-press.com 