Efficient unknown tag identification protocols in large-scale RFID systems

Xiulong Liu, Keqiu Li, Geyong Min, Kai Lin, Bin Xiao, Yanming Shen, Wenyu Qu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

45 Citations (Scopus)

Abstract

Owing to its attractive features such as fast identification and relatively long interrogating range over the classical barcode systems, radio-frequency identification (RFID) technology possesses a promising prospect in many practical applications such as inventory control and supply chain management. However, unknown tags appear in RFID systems when the tagged objects are misplaced or unregistered tagged objects are moved in, which often causes huge economic losses. This paper addresses an important and challenging problem of unknown tag identification in large-scale RFID systems. The existing protocols leverage the Aloha-like schemes to distinguish the unknown tags from known tags at the slot level, which are of low time-efficiency, and thus can hardly satisfy the delay-sensitive applications. To fill in this gap, two filtering-based protocols (at the bit level) are proposed in this paper to address the problem of unknown tag identification efficiently. Theoretical analysis of the protocol parameters is performed to minimize the execution time of the proposed protocols. Extensive simulation experiments are conducted to evaluate the performance of the protocols. The results demonstrate that the proposed protocols significantly outperform the currently most promising protocols.
Original languageEnglish
Article number6714543
Pages (from-to)3145-3155
Number of pages11
JournalIEEE Transactions on Parallel and Distributed Systems
Volume25
Issue number12
DOIs
Publication statusPublished - 1 Dec 2014

Keywords

  • Optimization
  • RFID technology
  • Time efficiency
  • Unknown tag identification

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

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