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密集标签环境下RFID标签防冲突算法的分析研究
引用本文:杨健,王永华,詹宜巨,余松森. 密集标签环境下RFID标签防冲突算法的分析研究[J]. 中山大学学报(自然科学版), 2009, 48(6)
作者姓名:杨健  王永华  詹宜巨  余松森
作者单位:1. 广东工业大学自动化学院,广东,广州,510006
2. 中山大学工学院,广东,广州,510006
3. 华南师范大学南海校区计算机工程系,广东,佛山,528225
基金项目:国家自然科学基金资助项目,广东省科技计划资助项目,广州市科技计划资助项目 
摘    要: 分析了密集标签环境下几种传统的RFID标签防冲突算法的识别总耗时、系统吞吐率、读写器发送数据量和单标签发送数据量等主要性能指标,并依此提出了一种对传统ALOHA算法的改进算法,其系统吞吐率达到0.41左右,读写器发送数据量和单标签发送数据量与树形算法相比均减少了一半以上,最后指出了下一步的研究方向。

关 键 词:RFID  标签防冲突  动态帧ALOHA  二叉树  查询树
收稿时间:2008-12-10;

Research on Tag Anti-collision Algorithms of RFID System under Dense Tag Environment
YANG Jian,WANG Yonghua,ZHAN Yiju,YU Songsen. Research on Tag Anti-collision Algorithms of RFID System under Dense Tag Environment[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2009, 48(6)
Authors:YANG Jian  WANG Yonghua  ZHAN Yiju  YU Songsen
Affiliation:(1. Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China);2. School of Engineering, Sun Yat sen University, Guangzhou 510006, China)3. Department of Computer Engineering, Nanhai Campus, South China Normal University,  Foshan 528225, China ; )
Abstract:This paper firstly analyses the performances of several RFID anti-collision algorithms under the environment of dense tags. The performances discussed include total time consumed, system efficiency, total bits transmitted by the reader and average bits sent by each tag and so on. Then a novel improved algorithm based on ALOHA algorithms is present. The new algorithm has high system efficiency a-round 0.41 and less amount of data transmitted which is decreased by 50 percent at least compared with tree-based algorithms. Lastly, conclusions are made and directions of further work are given.
Keywords:RFID
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