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A Study of Anti-collision Multi-tag Identification Algorithms for Passive RFID Systems

The major advantages of radio frequency identification (RFID) technology over barcodes are that the RFID-tagged objects do not require to be in line-of-sight with the reader for their identification and multiple objects can be read simultaneously. But when multiple objects are read simultaneously there is always a problem of collision which reduces the efficiency of the system. This thesis presents a comprehensive study of the dynamic framed slotted ALOHA (DFSA)-based anti-collision multi-tag identification algorithms for passive RFID system. Performance of various DFSA algorithms is compared through extensive simulation results. In addition, a number of simple performance improvement techniques have also been investigated in this thesis, including improved estimation techniques for the number of tags in each read cycle and a low-complexity heuristic stopping criterion that can be easily implemented in the practical system.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc28439
Date05 1900
CreatorsKamineni, Neelima
ContributorsLi, Xinrong, Varanasi, Murali R., Fu, Shengli, Namuduri, Kamesh
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Copyright, Kamineni, Neelima, Copyright is held by the author, unless otherwise noted. All rights reserved.

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