Unified Q-ary Tree for RFID Tag Anti-Collision Resolution

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Title Unified Q-ary Tree for RFID Tag Anti-Collision Resolution
Author Pupunwiwat, Prapassara; Stantic, Bela
Publication Title Database Technologies 2009
Editor Athman Bouguettaya, Xuemin Lin
Year Published 2008
Place of publication Sydney
Publisher ACM
Abstract Radio Frequency Identification (RFID) technology uses radio-frequency waves to automatically identify people or objects. A large volume of data, resulting from the fast capturing RFID readers and a huge number of tags, poses challenges for data management. This is particularly the case when a reader simultaneously reads multiple tags and Radio Frequency (RF) collisions occur, causing RF signals to interfere with each other and therefore preventing the reader from identifying all tags. This problem is known as Missed reads, which can be solved by using anti-collision techniques to prevent two or more tags from responding to a reader at the same time. he current probabilistic anti-collision methods are suffering from Tag starvation roblems so not all tags can be identified, while the deterministic methods suffer from too long Identification delay. In this paper, a “Unified Q-ary Tree Protocols” based on Query tree is presented. In empirical study compared with the Query tree and 4-ary tree, we show that the proposed method performs better, it requires less number of queries per complete identification, which results in less total identification time.
Peer Reviewed Yes
Published Yes
Publisher URI http://crpit.com/
Alternative URI http://crpit.com/confpapers/CRPITV92Pupunwiwat.pdf
Copyright Statement Copyright 2008 Australian Computer Society Inc. The attached file is posted here in accordance with the copyright policy of the publisher, for your personal use only. No further distribution permitted. Use hypertext link for access to the conference website
ISBN 978-1-920682-73-6
Conference name Australasian Database Conference
Location Wellington, New Zealand,
Date From 2008-01-20
Date To 2008-01-23
URI http://hdl.handle.net/10072/23631
Date Accessioned 2009-02-02
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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