Neighbor Node Discovery based Clustering and Cooperation for Dense Reader RFID Systems
Reader collision problem (RCP) seriously affects the reading efficiency in radio frequency identification (RFID) systems, especially in dense reader environment. This paper proposed a novel cluster based anti-collision solution to deal with the RCP with multiple readers. The existing cluster based solutions do not solve the inter-cluster interference efficiently, and rarely consider the interference among readers that located beyond the overlapping region of clusters. In this paper, multiple clusters are firstly formed based on neighbor node discovery (NND-based- Clustering), and the cluster headers (CHs) obtained the intracluster and neighbor CHs information. Then, the CHs cooperate with their neighbor CHs to allocate resource (time slots) to the slave readers (CHs-Cooperation), which is an optimization problem with objective function of minimizing the interference among readers. The proposed solution solves both the intra-cluster and inter-cluster interferences efficiently and the simulation results show its good performance.
Radio Frequency Identification(RFID) Reader Collision Problem(RCP) NND-based-Clustering CHs-Cooperation
Guangshan Zhang Wang Kang Zhaohao Wang Youguang Zhang
School of Electronic and Information Engineering Beihang University Beijing 100191, China
国际会议
北京
英文
40-43
2011-11-27（万方平台首次上网日期，不代表论文的发表时间）