DocumentCode :
2134671
Title :
An Enhanced Query Tree (EQT) Protocol for Memoryless Tag Anti-collision in RFID Systems
Author :
Hsu, Ching-Hsien ; Yu, Chia-Hao ; Huang, Yi-Pin ; Ha, Kyung-Jae
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Taiwan
Volume :
1
fYear :
2008
fDate :
13-15 Dec. 2008
Firstpage :
427
Lastpage :
432
Abstract :
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 several tags within a reader interrogation zone, an anti-collision algorithm should be applied. In this paper, we present an Enhanced Query Tree (EQT) protocol for memoryless tag anti-collision in RFID networks. The EQT is an enhanced technique based on the query tree protocol. The main advantage of EQT is that it can dynamically adjust length of prefix code to avoid unnecessary inquiry and reduce collisions. To evaluate performance of the proposed techniques, we have implemented the EQT along with the query tree protocol. The experimental results show that the EQT outperforms other tree based protocols in terms of the identification efficiency and its overhead, including number of collisions and time cost. Particularly, the EQT performs very well in neutral RFID systems.
Keywords :
protocols; radiofrequency identification; trees (mathematics); RFID systems; enhanced query tree protocol; memoryless tag anticollision; prefix code; Application software; Computer science; Delay; Large-scale systems; Performance analysis; Protocols; RFID tags; Radiofrequency identification; Temperature sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3431-2
Type :
conf
DOI :
10.1109/FGCN.2008.224
Filename :
4734137
Link To Document :
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