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基于查询树的双向分段防碰撞算法

Bi-direction segmented anti-collision algorithm based on query tree
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摘要 针对射频识别系统中由多标签碰撞导致系统效率低的问题,提出了一种基于查询树算法的防碰撞算法,意在减少系统能量损耗以及提高通信效率。该方法将标签分两组并将ID分段,使两组标签分别响应查询命令中的前缀和后缀,且根据查询命令中的状态码,只传输查询段的部分ID序列。与传统的查询树算法比较,该算法显著减少了对识别过程无用的比特信息的传输,消除了空闲时隙,同时提高了系统吞吐率。理论分析和仿真结果表明:本文算法优于现有的查询树防碰撞算法,有助于设计高效的RFID识别系统。 Focusing on the problem of the low system efficiency caused by multi-tags collision of RFID system,this paper proposes an anti-collision algorithm based on query tree,intended to reduce system energy consumption and improve communication efficiency. The method divides the tags into two groups and segments the IDs so that the tags respectively respond to the prefix and suffix in the query command and only transmit the partial ID sequence of the query segment according to the state code. Compared with the traditional query tree algorithm,the algorithm significantly reduces the transmission of bits useless for identification, eliminates idle time slots, and improves system throughput. Theoretical analysis and simulation results show that the proposed algorithm performs better than the existing query tree anticollision algorithm and helps to design an efficient RFID identification system.
作者 赵宏伟 张子健 李蛟 张媛 胡黄水 臧雪柏 ZHAO Hong-wei;ZHANG Zi-jian;LI Jiao;ZHANG Yuan;HU Huang-shui;ZANG Xue-bai(College of Computer Science and Technology,Jilin University,Changchun 130012,China;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University,Changchun 130012,China;Library,Jilin University,Changchun 130012,China;School of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China)
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2021年第5期1830-1837,共8页 Journal of Jilin University:Engineering and Technology Edition
基金 吉林省省级科技创新专项项目(20190302026GX) 吉林省自然科学基金项目(20200201037JC) 吉林省发改委产业技术研究与开发项目(2019C054-4) 中国高校科技期刊研究会青年基金资助项目(CUJS-QN-2021-049).
关键词 计算机应用技术 射频识别 防碰撞 双向 预识别 computer application technology radio frequency identification anti-collision algorithm bidirection pre identification
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