DocumentCode :
496344
Title :
An Incremental Splitting Scheme for Efficient Tag Identification
Author :
Hsu, Ching-Hsien ; Hsu, I-Chung
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
698
Lastpage :
701
Abstract :
In recent year, RFID automatic identification has become very popular in many service industries, manufacturing companies and material flow systems. One of the challenges in designing modern RFID systems is that when more than one tag exists in an RFID environment, it may occurs collisions so that the whole system becomes inefficient and increases the time for identifying RFID tags. In order to simultaneously recognize multiple tags within a reader interrogation zone, tag anti-collision algorithm should be applied. In this paper, we present an incremental splitting scheme (ISS), which is an enhanced technique based on the query tree protocol, for tag identification. The main idea of the proposed technique is that the ISS can dynamically adjust length of inquiry message to avoid unnecessary interrogation. To evaluate performance of the proposed technique, we have implemented the ISS along with other query tree based protocols. The experimental results show that the ISS outperforms other tree based approaches in terms of efficiency and identification overheads.
Keywords :
protocols; radiofrequency identification; RFID automatic identification; efficient tag identification; incremental splitting scheme; manufacturing companies; material flow system; query tree protocol; reader interrogation zone; service industries; tag anticollision algorithm; Approximation algorithms; Computer aided manufacturing; Computer industry; Computer science; Delay; Heuristic algorithms; Manufacturing industries; Protocols; RFID tags; Radiofrequency identification; ISS; RFID Collision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.338
Filename :
5193790
Link To Document :
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