DocumentCode :
2818780
Title :
Efficient dual bias Q-Algorithm and optimum weights for EPC Class 1 Generation 2 Protocol
Author :
Lee, Dongwook ; Bang, Okkyeong ; Im, Sooyeol ; Hyuckjae Lee
Author_Institution :
Sch. of Electr. Eng., Inf. & Commun. Univ., Daejeon
fYear :
2008
fDate :
22-25 June 2008
Firstpage :
1
Lastpage :
5
Abstract :
Passive RFID tags, which have no self-battery and just backscatter the energy from a reader, share a common channel. It causes a tag-to-tag collision problem when at least two or more tags communicate to the reader simultaneously. The dynamic frame slotted Aloha (DFS-Aloha) protocol is one of the well-known anti-collision algorithms to solve this problem. To maximize the system performance and enhance the reading speed of Aloha protocols, we propose a frame-size estimator which is a modified version of Q-Algorithm. To maximize the system performance, the optimum bias values of the proposed estimator are searched by using Least Square method from mathematical model of DFS-Aloha. Simulation results show that the proposed estimation algorithm enhances the system performance. The proposed estimation algorithm takes less identification time than DFS-Aloha with the existing Q-Algorithm based on EPC Class 1 Generation 2 protocol.
Keywords :
least squares approximations; protocols; radiofrequency identification; EPC Class 1 Generation 2 protocol; dual bias Q-algorithm; least square method; pPassive RFID tags; Backscatter; ISO standards; Least squares methods; Mathematical model; Passive RFID tags; Protocols; RFID tags; Radiofrequency identification; Road accidents; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Conference, 2008. EW 2008. 14th European
Conference_Location :
Prague
Print_ISBN :
978-3-8007-3102-2
Type :
conf
DOI :
10.1109/EW.2008.4623846
Filename :
4623846
Link To Document :
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