A time- and energy-aware collision tree protocol for efficient large-scale RFID tag identification

Zhang, Lijuan, Xiang, Wei, Tang, Xiaohu, Li, Qiang, and Yan, Qifa (2018) A time- and energy-aware collision tree protocol for efficient large-scale RFID tag identification. IEEE Transactions on Industrial Informatics, 14 (6). pp. 2406-2417.

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Abstract

Being able to provide a relatively easy and inexpensive way to collect data, portable readers have gained increasing popularity in wide-ranging RFID applications. In order tomaximize the reader's battery life, efficient tag identification protocols are of paramount importance in largescale passive radio frequency identification (RFID) systems. This paper proposes a time-and energy-aware protocol based onM-ary collision tree (MCT) for efficient RFID tag identification. Thanks to Manchester encoding, the proposed MCT protocol recursively divides colliding tags into M subsets with at least two nonempty ones according to the information of log(2)M colliding bits. Through the new MCT recognition process, MCT can effectively identify all the tags within its reading range. Theoretic analysis demonstrates that it takes the proposed MCT protocol fewer numbers of collision slots and message bits to identify all the tags, which reduces not only the identification time but also the energy cost. Simulation results are also presented to show that compared with other benchmark works, the proposed MCT protocol is able to reduce the average identification time and energy cost by at least 16.12% and 15.73%, respectively.

Item ID: 54357
Item Type: Article (Research - C1)
ISSN: 1941-0050
Keywords: anti-collision, energy aware, RFID, tag identification, time efficient
Copyright Information: 1551-3203 © 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Funders: National Natural Science Foundation of China (NNSFC), Major Frontier Project of Sichuan Province (MFPSP), China International Joint Research Center of Green Communications and Networking (CIJRCGCN)
Projects and Grants: NNSFC 61628102, MFPSP 2015JY0282, CIJRCGCN 2015B01008
Date Deposited: 27 Jun 2018 07:45
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100504 Data Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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