Internet of Things Infrastructure Research Mapping
DOI:
https://doi.org/10.58812/wsist.v4i02.3095Keywords:
Internet of Things, IoT Infrastructure, Bibliometric Analysis, Research Mapping, Edge Computing, CybersecurityAbstract
The fast pace of developing the concept of digital transformation made the Internet of Things infrastructure a crucial basis for connected systems, intelligent applications, and sustainable technological ecosystems. The purpose of this study is to conduct a bibliometric analysis and identify the patterns of development, intellectual structure, collaboration, and current research trends in the IoT infrastructure. Scientific publications related to the topic were gathered and analyzed using the software VOSviewer in order to investigate citation performance, co-authorship network, collaborations between institutions and countries, co-occurrence of keywords, thematic dynamics, and patterns of research density. It was found out that there has been a considerable increase in the amount of IoT infrastructure research, with cybersecurity, secure communication, edge computing, fog computing, smart cities, and intelligent infrastructure being identified as leading research topics. Citation analysis suggests that papers dedicated to IoT security framework, intrusion detection system, critical infrastructure protection, and distributed computing architecture have had a significant impact on this field. Collaboration analysis has indicated the presence of strong international research networks with China, India, USA, Germany, and the UK being recognized as the key contributors. Finally, it has been found out that the research has evolved from addressing connectivity challenges to advanced research which includes artificial intelligence, machine learning, privacy protection, energy efficiency, and autonomous IoT systems.
References
[1] S. K. Gupta, N. Kohli, K. Bedi, P. K. Angra, P. Singh, and A. Sharma, “AI, IoT, and Cybersecurity in Last-Mile Delivery Systems: A Systematic Review and Conceptual Framework,” in 2026 International Conference on Smart Multidomain Integrated Learning Environments, ICSMILE 2026, Lincoln University College, Selangor, Petaling Jaya, Malaysia: Institute of Electrical and Electronics Engineers Inc., 2026. doi: 10.1109/ICSMILE69273.2026.11519312.
[2] R. Vijayalakskmi et al., “ASIC-Based AI Accelerator with Quantum-Inspired Optimization for Blockchain Validation and Fraud Detection,” in International Conference on AI-Driven Innovations and Applications, IC-AIDA 2026 - Conference Proceedings, Anna University, Rajalakshmi Institute of Technology, Department of Computer Science and Business System, Chennai, India: Institute of Electrical and Electronics Engineers Inc., 2026. doi: 10.1109/IC-AIDA68291.2026.11564453.
[3] A. Al Hadwer, M. Tavana, D. Gillis, and D. Rezania, “A Systematic Review of Organizational Factors Impacting Cloud-based Technology Adoption Using Technology-Organization-Environment Framework,” Internet of Things (Netherlands), vol. 15, 2021, doi: 10.1016/j.iot.2021.100407.
[4] G. Naeem, M. Asif, and M. Khalid, “Industry 4.0 digital technologies for the advancement of renewable energy: Functions, applications, potential and challenges,” Energy Convers. Manag. X, vol. 24, 2024, doi: 10.1016/j.ecmx.2024.100779.
[5] N. Kefalakis, A. Roukounaki, and J. Soldatos, “A configurable distributed data analytics infrastructure for the industrial internet of things,” in Proceedings - 15th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2019, IoT Group, Athens Information Technology, Marousi, Greece: Institute of Electrical and Electronics Engineers Inc., 2019, pp. 179–181. doi: 10.1109/DCOSS.2019.00048.
[6] Z. Grider and A. H. Nelson, “Solid-if-IoT: An Internet of Things Client Bridge to Interface with Solid Backend Infrastructure,” in IEEE Green Technologies Conference, University of Arkansas, Electrical Engineering and Computer Science, Fayetteville, United States: IEEE Computer Society, 2024, pp. 227–231. doi: 10.1109/GreenTech58819.2024.10520357.
[7] I. Keshi, R. Daimon, Y. Takaoka, and A. Hayashi, “Integrated Evaluation of Semantic Representation Learning, BERT, and Generative AI for Disease Name Estimation Based on Chief Complaints,” in International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings, C. F., F. A., and B. J., Eds., AI & IoT Center, Fukui University of Technology, 3-6-1, Gakuen, Fukui, Japan: Science and Technology Publications, Lda, 2024, pp. 294–301. doi: 10.5220/0012927100003838.
[8] B. M. Kavya et al., “An Efficient Machine Learning-Based Power Management System for Smart Grids Using Renewable Energy Resources,” in 2nd IEEE International Conference on Networks, Multimedia and Information Technology, NMITCON 2024, Ks Institute of Technology, Dept of Electronics and Communication Engineering, Bengaluru, India: Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/NMITCON62075.2024.10698819.
[9] M. Nayak, P. Patro, J. B. Awotunde, and S. K. Gupta, “IoT Security Architectures and Protocols,” Security Paradigms in 6G Smart Cities and IoT Ecosystems: Navigating the Future. CRC Press, Department of Computer Science and Engineering, NIST University, Odisha, Berhampur, India, pp. 52–71, 2025. doi: 10.1201/9781003564645-6.
[10] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, pp. 285–296, 2021.
[11] A. Djenna, S. Harous, and D. E. Saidouni, “Internet of things meet internet of threats: New concern cyber security issues of critical cyber infrastructure,” Appl. Sci., vol. 11, no. 10, 2021, doi: 10.3390/app11104580.
[12] H. Alkahtani and T. H. H. Aldhyani, “Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms,” Complexity, vol. 2021, 2021, doi: 10.1155/2021/5579851.
[13] X. Liu, C. Qian, W. G. Hatcher, H. Xu, W. Liao, and W. Yu, “Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities,” IEEE Access, vol. 7, pp. 79523–79544, 2019, doi: 10.1109/ACCESS.2019.2920763.
[14] M. A. Salahuddin, A. Al-Fuqaha, M. Guizani, K. Shuaib, and F. Sallabi, “Softwarization of internet of things infrastructure for secure and smart healthcare,” Computer (Long. Beach. Calif)., vol. 50, no. 7, pp. 74–79, 2017, doi: 10.1109/MC.2017.195.
[15] C. Chang, S. N. Srirama, and R. Buyya, “Indie Fog: An Efficient Fog-Computing Infrastructure for the Internet of Things,” Computer (Long. Beach. Calif)., vol. 50, no. 9, pp. 92–98, 2017, doi: 10.1109/MC.2017.3571049.
[16] P. Sotres, J. R. Santana, L. Sanchez, J. Lanza, and L. Munoz, “Practical Lessons from the Deployment and Management of a Smart City Internet-of-Things Infrastructure: The SmartSantander Testbed Case,” IEEE Access, vol. 5, pp. 14309–14322, 2017, doi: 10.1109/ACCESS.2017.2723659.
[17] G. R. González, M. M. Organero, and C. D. Kloos, “Early infrastructure of an Internet of things in spaces for learning,” in Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008, Carlos III University of Madrid, Leganes Campus, Madrid, Spain, 2008, pp. 381–383. doi: 10.1109/ICALT.2008.210.
[18] N. Omnes, M. Bouillon, G. Fromentoux, and O. Le Grand, “A programmable and virtualized network & IT infrastructure for the internet of things: How can NFV & SDN help for facing the upcoming challenges,” in 2015 18th International Conference on Intelligence in Next Generation Networks, ICIN 2015, Orange Labs IMT/OLN/CNC/NCA, Lannion, 22300, France: Institute of Electrical and Electronics Engineers Inc., 2015, pp. 64–69. doi: 10.1109/ICIN.2015.7073808.
[19] J. Höglund, S. Lindemer, M. Furuhed, and S. Raza, “PKI4IoT: Towards public key infrastructure for the Internet of Things,” Comput. Secur., vol. 89, 2020, doi: 10.1016/j.cose.2019.101658.
[20] W. Yaïci, K. Krishnamurthy, E. Entchev, and M. Longo, “Recent advances in internet of things (IoT) infrastructures for building energy systems: A review,” Sensors, vol. 21, no. 6, pp. 1–40, 2021, doi: 10.3390/s21062152.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Loso Judijanto
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Facebook 
Instagram 
Twitter 
Youtube 
westscience.journals@gmail.com