TY - GEN
T1 - An Adapted RFID Anti-collision Algorithm in a Dynamic Environment
AU - Zhu, Weiping
AU - Li, Mingzhe
AU - Cao, Jiannong
AU - Cui, Xiaohui
N1 - Funding Information:
ACKNOWLEDGMENTS This research is supported in part by National Natural Science Foundation of China No. 61502351, National Key R&D Program of China No. 2018YFC1604000, and Chutian Scholars Program of Hubei, China.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/5
Y1 - 2020/5
N2 - 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.
AB - 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.
KW - anti-collision
KW - dynamic environment
KW - RFID
KW - threshold estimation
UR - http://www.scopus.com/inward/record.url?scp=85087278300&partnerID=8YFLogxK
U2 - 10.1109/WCNC45663.2020.9120658
DO - 10.1109/WCNC45663.2020.9120658
M3 - Conference article published in proceeding or book
AN - SCOPUS:85087278300
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 1
EP - 6
BT - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020
Y2 - 25 May 2020 through 28 May 2020
ER -