Conceptual Selective RFID Anti-Collision Technique Management

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Title Conceptual Selective RFID Anti-Collision Technique Management
Author Pupunwiwat, Prapassara; Darcy, Peter John; Stantic, Bela
Journal Name Procedia Computer Science
Year Published 2011
Place of publication Netherlands
Publisher Elsevier
Abstract Radio Frequency Identification (RFID) uses wireless radio frequency technology to automatically identify tagged objects. Despite the extensive development of RFID technology, tag collisions still remains a major drawback. The collision issue can be solved by using anti-collision techniques. While existing research has focused on improving anti-collision methods alone, it is also essential that a suitable type of anti-collision algorithm is selected for the specific circumstance. In this work, we evaluate anti-collision techniques and perform a comparative analysis in order to find the advantages and disadvantages of each approach. To identify the best anti-collision selection method in various scenarios, we have proposed two strategies for selective anti-collision technique management: a “Novel Decision Tree Strategy” and a “Six Thinking Hats Strategy”. We have shown that the selection of the correct technique for specific scenarios improve the quality of the data collection which, in turn, will increase the integrity of the data after being transformed, aggregated, and used for event processing.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2011 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume 5
Page from 827
Page to 834
ISSN 1877-0509
Date Accessioned 2012-02-24
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Data Format
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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