A Multi-channel Anti-collision Algorithm in Multi-reader RFID Networks

Zhiyong Ding, Jianying Li, Mao Yang, Zhongjiang Yan, Bo Li, Wenhui Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In order to solve the problem of identification collision in multi-reader Radio Frequency Identification (RFID) systems, this paper proposes a multi-channel anti-collision algorithm based on grouping strategy named McAnCo. In this algorithm, the interference types among readers are classified and modeled, and then the vertex coloring algorithm in graph theory is used to group the readers with mutual interference. The readers in the same group can work at the same frequency and time slot, while the readers in different groups in the same set can work at the same time slot in different frequency, so that the maximum number of readers can work simultaneously without interference. Simulation results show that, compared with distributed color selection (DCS) algorithm, hierarchical Q-learning (HiQ) algorithm and neighborhood friendly anti-collision scheme (NFRA) algorithm, the proposed algorithm effectively prevent reader collision and raise the identification efficiency of the system.

源语言英语
主期刊名Smart Grid and Internet of Things - 4th EAI International Conference, SGIoT 2020, Proceedings
编辑Yi-Bing Lin, Der-Jiunn Deng
出版商Springer Science and Business Media Deutschland GmbH
220-238
页数19
ISBN(印刷版)9783030695132
DOI
出版状态已出版 - 2021
活动4th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2020 - TaiChung, 中国台湾
期限: 5 12月 20206 12月 2020

出版系列

姓名Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
354
ISSN(印刷版)1867-8211
ISSN(电子版)1867-822X

会议

会议4th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2020
国家/地区中国台湾
TaiChung
时期5/12/206/12/20

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