
Proceedings Paper
Anti-collision protocols for RFID systems exploiting multi-antenna readersFormat | Member Price | Non-Member Price |
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Paper Abstract
In conventional RFID systems, only one tag can be identified at a time. Tag collisions occur if more than one
tag simultaneously occupies the shared RF channel, resulting in low identification efficiency and long delay,
particularly when the population of tags is large. In this paper, we propose two RFID anti-collision protocols,
both are based on framed slotted ALOHA (FSA), to concurrently identify multiple tags by using a multi-antenna
reader. The first one is Blind Identification Protocol, which relies on blind estimation of the channel between the
activated tags and the reader and, as such, does not require redesign of the existing RFID tags. The second one
is Orthogonal ID-aided Identification Protocol which estimates the channels with the use of temporary orthogonal
IDs, which are randomly selected by the tags and are inserted at the head of each tag's reply signal. The use of
orthogonal IDs facilitates both the detection of activated tags and the channel estimation. Unlike code division
multiple access (CDMA) techniques which rely on the use of excessive bandwidth and require redesign of tags,
the proposed protocols use multiple antennas at the reader to support concurrent identification of multiple tags
without the requirement of additional bandwidth and no or minimal modifications to the existing tags. As a
result, the proposed techniques yield significant improvement of the identification efficiency and reduction of
the identification delay. We analyze, in an analytical framework, the identification efficiency of the proposed
protocols, and the optimum frame size is derived.
Paper Details
Date Published: 1 May 2009
PDF: 12 pages
Proc. SPIE 7349, Wireless Sensing and Processing IV, 734906 (1 May 2009); doi: 10.1117/12.818845
Published in SPIE Proceedings Vol. 7349:
Wireless Sensing and Processing IV
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)
PDF: 12 pages
Proc. SPIE 7349, Wireless Sensing and Processing IV, 734906 (1 May 2009); doi: 10.1117/12.818845
Show Author Affiliations
Moeness G. Amin, Villanova Univ. (United States)
Published in SPIE Proceedings Vol. 7349:
Wireless Sensing and Processing IV
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)
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