Evaluation of RFID Tag Anti-Collision Algorithms in Supply Chain Automation

Author:

Pal Kamalendu1ORCID

Affiliation:

1. City, University of London, UK

Abstract

Radio Frequency Identification (RFID) is a technology that uses radio frequency signals to identify tagged objects. RFID is an important technology used by the Internet of Things (IoT) applications. This technology enables communication between the main devices used in RFID system, the reader, and the tags. The tags share a common communication channel. Therefore, if more than one tag tries to send information at the same time, the reader will be incapable of differentiating these signals in the case of radio signals interference. This phenomenon is known as tag collision problem. The problem of tag collision is one of the major disadvantages for fast tagged-object identification in supply chain management. This chapter describes four different types of binary search algorithms for avoidance of tag collision, and then presents a performance measurement mechanism for RFID application system. Finally, simulation-based experimental results on the performance of these algorithms are presented.

Publisher

IGI Global

Reference30 articles.

1. Abramson, N. (1970). The ALOHA system-Another alternative for computer communications, In Proceedings of Fall Joint Computer Conference, (pp. 281-285). ACM.

2. Coming soon to a Wal-mart near you

3. Biao, L. Ai qun, H., & Zhong-Yuan, Q. (2006, June). Trends and Brief Comments on Anti-collision Techniques in Radio Frequency Identification System. In 6th International Conference on ITS Telecommunications Proceedings (pp. 241-245). IEEE.

4. Bonuccelli, M. A., Lonetti, F., & Martelli, F. (2006, June). Tree slotted ALOHA: a new protocol for tag identification in RFID networks. In Proceedings of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (pp. 603-608). IEEE Computer Society.

5. Cha, J. R., & Kim, J. H. (2005, July). Novel anti-collision algorithms for fast object identification in RFID system. In ICPADS (2) (pp. 63-67).

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