Efficient Dual Bias Q-Algorithm and Optimum Weights for EPC Class 1 Generation 2 Protocol
Conference: European Wireless 2008 - 14th European Wireless Conference
06/22/2008 - 06/25/2008 at Prague, Czech Republic
Proceedings: European Wireless 2008
Pages: 5Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Lee, Dongwook; Bang, Okkyeong; Im, Sooyeol; Lee, Hyuckjae (School of Electrical Engineering, Information and Communications University (ICU), 119 Mungiro, Yuseong-gu, Daejeon, 305-732, Korea)
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.