Articles
Centering Intelligence at the Edge: An Integrated Analytical Framework for RFID and IoT Enabled Traffic, Logistics, Healthcare, and Industrial Management Systems
Downloads
Keywords
RFID
Internet of Things
traffic management
logistics systems
Article Usage Statistics
Live Metrics
Abstract Views
243
File Views
106
PDF
0
HTML
0
Other
106
Total
349
Article Usage Chart
Abstract
File Views
PDF
HTML
Other
Total
Abstract
The continuous evolution of Radio Frequency Identification (RFID) and Internet of Things (IoT) technologies has fundamentally reshaped how physical assets, people, and processes are identified, monitored, and optimized across modern socio technical systems. Over the last two decades, RFID has moved beyond its original role as a simple identification mechanism to become a core component of intelligent, interconnected environments that span traffic management, logistics, healthcare, manufacturing, building management, and urban infrastructure. At the same time, IoT has emerged as a unifying paradigm that connects heterogeneous devices, sensors, networks, and analytic platforms into cohesive digital ecosystems. The convergence of RFID and IoT has therefore become one of the most influential developments in contemporary industrial and service oriented systems. Despite the extensive body of research that has explored RFID applications, system architectures, optimization methods, and strategic impacts, there remains a need for a deeply integrated theoretical and empirical framework that explains how RFID and IoT together generate operational, strategic, and societal value across diverse domains.
This research article develops such a framework by synthesizing classical RFID research on traffic management, logistics, manufacturing, privacy, and strategic adoption with recent advances in IoT based industrial management, healthcare, security, and intelligent optimization. Drawing strictly on the provided body of references, the article traces the evolution of RFID from early transportation and supply chain implementations to its current role as a critical sensing and identification layer within IoT driven cyber physical systems. The analysis demonstrates how RFID based data capture enables real time situational awareness in traffic networks, logistics chains, healthcare environments, industrial facilities, and smart cities, and how IoT architectures amplify the value of this data through connectivity, analytics, and intelligent decision making.
A comprehensive methodology grounded in comparative literature synthesis and theoretical integration is employed to extract common patterns, mechanisms, and performance drivers across application domains. The results reveal that RFID and IoT integration consistently enhances visibility, traceability, responsiveness, and control, but also introduces new challenges related to network planning, data management, security, privacy, and organizational change. The discussion explores these tradeoffs in depth, highlighting the need for advanced middleware, optimization algorithms, security frameworks, and governance models to ensure sustainable and ethical deployment. The article concludes by articulating a future oriented research agenda that positions RFID IoT convergence as a foundational pillar of intelligent infrastructure, digital supply networks, and next generation healthcare and industrial systems.
Downloads
Download data is not yet available.
References
1. Aghdam, A. S., Eshlaghy, A. T., Kazemi, M. A. A., and Danehsvar, A. (2023). RFID network planning optimization using a genetic simulated annealing combined algorithm. China Communications, 20(8), 234 to 253.
2. Chuang, P. J., and Tsai, W. T. (2016). NOP An efficient non optimization based method for RFID network topology design. International Journal of Future Generation Communication and Networking, 9(12), 371 to 386.
3. El Rashidy, N., El Sappagh, S., Islam, S. R., El Bakry, H. M., and Abdelrazek, S. (2021). Mobile health in remote patient monitoring for chronic diseases principles, trends, and challenges. Diagnostics, 11(4), 607.
4. Haibi, A., Oufaska, K., El Yassini, K., Boulmalf, M., and Bouya, M. (2023). On the use of RFID middleware for real time data stream processing. Proceedings of the 6th International Conference on Networking, Intelligent Systems and Security, 1 to 5.
5. Kathawala, Y. A., and Tueck, B. (2008). The use of RFID for traffic management. International Journal of Technology, Policy and Management, 8(2), 111 to 125.
6. Khan, F., Akhtar, N., and Qadeer, M. A. (2009). RFID enhancement in road traffic analysis by augmenting receiver with telegraphcq. In 2nd International Workshop on Knowledge Discovery and Data Mining, 331 to 334.
7. Kim, H. S., and Sohn, S. Y. (2009). Cost of ownership model for the RFID logistics system applicable to u city. European Journal of Operational Research, 194(2), 406 to 417.
8. Kim, J., Tang, K., Kumara, S., Yee, S. T., and Tew, J. (2008). Value analysis of location enabled radio frequency identification information on delivery chain performance. International Journal of Production Economics, 112(1), 403 to 415.
9. Kim, Y. I., Song, J. J., Shin, J. H., Yi, B. J., and Choi, H. (2009). Development of power facility management services using RFID and USN. International Journal of Computer Applications in Technology, 34(4), 241 to 248.
10. Ko, C. H. (2009). RFID based building maintenance system. Automation in Construction, 18(3), 275 to 284.
11. Kovavisaruch, L., Lertudomtana, P., and Horungruang, S. (2008). Management truck tire information in logistic industry using RFID technology. PICMET Technology Management for a Sustainable Economy, 1656 to 1665.
12. Langheinrich, M. (2009). A survey of RFID privacy approaches. Personal and Ubiquitous Computing, 13(6), 413 to 421.
13. Leimeister, S., Leimeister, J. M., Knebel, U., and Krcmar, H. (2009). A cross national comparison of perceived strategic importance of RFID for CIOs in Germany and Italy. International Journal of Information Management, 29(1), 37 to 47.
14. Lin, S. S., Hung, M. H., and Lai, D. R. (2009). Development of a RFID based missile assembly and test management system. Journal of Chung Cheng Institute of Technology, 37(1), 185 to 195.
15. Liu, C. M., and Chen, L. S. (2009). Applications of RFID technology for improving production efficiency in an integrated circuit packaging house. International Journal of Production Research, 47(8), 2203 to 2216.
16. Martinez Sala, A., Egea Lopez, E., Garcia Sanchez, F., and Garcia Haro, J. (2009). Tracking of returnable packaging and transport units with active RFID in the grocery supply chain. Computers in Industry, 60(3), 161 to 171.
17. Mehrjerdi, Y. Z. (2009). RFID enabled supply chain systems with computer simulation. Assembly Automation, 29(2), 174 to 183.
18. Mourtzis, D., Papakostas, N., Makris, S., Xanthakis, V., and Chryssolouris, G. (2008). Supply chain modeling and control for producing highly customized products. CIRP Annals Manufacturing Technology, 57(1), 451 to 454.
19. Mu, X., and Antwi Afari, M. F. (2024). The applications of Internet of Things in industrial management a science mapping review. International Journal of Production Research, 62(5), 1928 to 1952.
20. Ngai, E. W. T., Moon, K. K. L., Riggins, F. J., and Candace, Y. Y. (2008). RFID research an academic literature review 1995 to 2005 and future research directions. International Journal of Production Economics, 112, 510 to 520.
21. Oztaysi, B., Baysan, S., and Akpinar, F. (2009). Radio frequency identification in hospitality. Technovation, 29(9), 618 to 624.
22. Pandey, R., Saha, S., Yathiraju, N., Abdulrahman, I. S., Nittala, R., and Tripathi, V. (2023). Integration of RFID and image processing for surveillance based security system. Proceedings of the 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, 380 to 384.
23. Piramuthu, S., Wei, Z., and Kapoor, G. (2008). RFID and information security in supply chains. Proceedings of the 4th International Conference on Mobile Ad hoc and Sensor Networks, 59 to 62.
24. Qian, H. (2022). An improved approach for reader anti collision in industrial Internet of Things. Security and Communication Networks, 2022.
25. Revuru, S. (2024). RFID in healthcare. In The Rise of the Intelligent Health System, 112 to 142.
26. Smail, B., Meenakshi, Arias Gonzales, J. L., Jawarneh, M., Venkata Hari Prasad, P., and Pallathadka, H. (2024). Conversational AI threat identification at industrial Internet of Things. Conversational Artificial Intelligence, 513 to 532.
27. Talib, N. H., Nawawi, A. B., Elewe, A. M., Abdullah, H. B., and Tahir, S. (2019). An efficient algorithm for large scale RFID network planning. Proceedings of the IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 519 to 524.
28. Valarmathy, S., Radhika, K., Bashkaran, K., Selvarasu, S., and Srinivasan, C. (2023). Intelligent baggage management in airports a cognitive IoT approach for real time tracking optimization and passenger engagement. Proceedings of the 7th International Conference on Electronics Communication and Aerospace Technology, 1876 to 1880.
29. Zhang, J., Zheng, J., Xie, X., Lin, Z., and Li, H. (2022). Mayfly sparrow search hybrid algorithm for RFID network planning. IEEE Sensors Journal, 22(16), 16673 to 16686.