Efficient Tag Identification in Mobile RFID Systems

被引:0
|
作者
Xie, Lei [1 ,2 ]
Sheng, Bo [2 ]
Tan, Chiu C. [2 ]
Han, Hao [2 ]
Li, Qun
Chen, Daoxu [1 ]
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Dept Comp Sci & Technol, Nanjing, Peoples R China
[2] Coll William & Mary, Williamsburg, VA USA
基金
美国国家科学基金会;
关键词
FRAME LENGTH ALOHA; ANTICOLLISION; ALGORITHM;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we consider how to efficiently identify tags on the moving conveyor. Considering conditions like the path loss and multi-path effect in realistic settings, we first propose a probabilistic model for RFID tag identification. Based on this model, we propose efficient solutions to identify moving RFID tags, according to the fixed-path mobility on the conveyor. A dynamic program based solution and an adaptive solution are proposed to select optimized frame sizes during the query cycles. Simulation results indicate that by leveraging the probabilistic model our solutions can achieve much better performance than using parameters for the ideal propagation situations.
引用
收藏
页数:9
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