Performance Analysis of Enhanced Q-ary Tree Anti-Collision Protocols

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Title Performance Analysis of Enhanced Q-ary Tree Anti-Collision Protocols
Author Pupunwiwat, Prapassara; Stantic, Bela
Publication Title Proceedings of the First Malaysian Joint Conference on Artificial Intelligence (MJCAI 2009)
Editor Patricia Anthony, Tan Yew Seng & Dickson Lukose
Year Published 2009
Place of publication Kulala Lumpur, Malaysia
Publisher Stake Serier MIMOS BERHAD
Abstract Radio Frequency Identification (RFID) is a contactless automatic identification technology that uses radio-frequency (RF) waves to identify objects. The fast capturing of large number of RFID tags by readers produce errors in data streams, especially \textit{Missed reads}, caused by simultaneous reads of multiple tags. This problem can be solved by using \textit{anti-collision} techniques to prevent two or more tags from communicating to a reader at the same time. The current \textit{Tree-based} approaches are hindered from too long \textit{Identification delay} due to large memory required during the identification process. In this paper, we propose the ``Enhanced Q-ary Tree Anti-Collision Protocols'' and show the results of that performance analysis. The results demonstrate that our approach requires less memory per complete identification round than an existing approaches, which ensures more efficient identification time.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.mimos.my/mjcai2009/index.html
ISBN 978-983-42887-2-3
Conference name First Malaysian Joint Conference on Artificial Intelligence
Location Kulala Lumpur, Malaysia
Date From 2009-07-14
Date To 2009-07-16
URI http://hdl.handle.net/10072/31894
Date Accessioned 2010-01-22
Date Available 2010-07-09T07:51:21Z
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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