Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105541
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Title: An adapted RFID anti-collision algorithm in a dynamic environment
Authors: Zhu, W
Li, M
Cao, J 
Cui, X
Issue Date: 2020
Source: 2020 IEEE Wireless Communications and Networking Conference (WCNC), 25 - 28 May 2020, Seoul, Korea (South), 9120658
Abstract: In recent decades, radio frequency identification (RFID) has been used in many applications in the world. Tag anti-collision is a fundamental technique for RFID, for solving the collisions when multiple RFID tags transmit their IDs to an RFID reader simultaneously. This technique is well investigated in the stationary environment, however, has some deficiencies when the number of tags in the interrogation region of the reader changes dramatically. This paper proposes a tag anti-collision algorithm called TAD to solve this problem. TAD can effectively and fast estimate the number of arriving and leaving tags, and automatically adapt to different changes of the tags using a hybrid method. The simulation results show that TAD significantly outperforms existing approaches in the situation with many leaving tags.
Keywords: Anti-collision
Dynamic environment
RFID
Threshold estimation
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 978-1-7281-3106-1 (Electronic)
978-1-7281-3107-8 (Print on Demand(PoD))
DOI: 10.1109/WCNC45663.2020.9120658
Rights: ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication W. Zhu, M. Li, J. Cao and X. Cui, "An Adapted RFID Anti-collision Algorithm in a Dynamic Environment," 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-6 is available at https://doi.org/10.1109/WCNC45663.2020.9120658.
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