广东工业大学学报 ›› 2013, Vol. 30 ›› Issue (2): 84-89.doi: 10.3969/j.issn.1007-7162.2013.02.016

• 综合研究 • 上一篇    下一篇

一种新型的自适应多叉树抗冲突算法

陈刚1,段渊1,刘秉权2   

  1. 1.广东科技学院 计算机系, 广东 东莞 523083;2.哈尔滨工业大学 计算机科学与技术学院,黑龙江 哈尔滨 150001
  • 收稿日期:2013-01-21 出版日期:2013-06-27 发布日期:2013-06-27
  • 作者简介:陈刚(1977-),男,讲师,主要研究方向为数据挖掘、人工智能.
  • 基金资助:

    国家自然科学基金资助项目(61073127);东莞市科技计划资助项目(2012108102030)

A New Adaptive Anti-collision Algorithm Based on Multi-Tree Search

Chen Gang1, Duan Yuan1, Liu Bing-quan2   

  1. 1. Department of Computer Science, Guangdong University of Science & Technology, Dongguan 523083,China; 2. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001,China
  • Received:2013-01-21 Online:2013-06-27 Published:2013-06-27

摘要: 针对无线射频识别(Radio Frequency Identification,RFID)系统在识别标签的过程中出现标签碰撞识别效率不高的问题,在传统的自适应多叉树的基础上,提出了一种新型的自适应多叉树(NAMS)的防碰撞算法,该算法在计算碰撞因子选择叉数之前先估算碰撞标签数目N和统计碰撞位数m,直接识别满足N=2m的关系的叶子节点,节省了部分叶子节点的搜索时间;同时引入自动休眠计数机制,平均节省了一半的执行命令数,从而缩短了通信时间.最后对NAMS算法所需总时隙进行理论分析并将该算法用于实验,结果表明,NAMS算法较AMS算法在识别速度和系统吞吐率方面有较大提高.

关键词: 射频识别;多叉树;抗冲突算法;碰撞因子

Abstract: For the radio frequency identification (RFID) systems, the tag collision brings about low efficiency in the process of tag identification. On the basis of the traditional adaptive multi-tree, it raises a new improved adaptive multi-tree (NAMS) anti-collision algorithm. Before calculating the collision factor and selecting fork number, in the algorithm it first estimated collided tag number N and the statistical collision digit capacity m, directly identified leaf nodes which satisfied the N=2m to shorten the search time; simultaneously it introduced autosleep counting mechanism which decreased on average half of the number of executive commands, thereby shortening the communication time. Finally, the required total number of slots of the algorithm was analyzed and experiments were conducted. The results show that the improved multi-tree anti-collision algorithm has higher recognition speed and system throughput rate than the traditional anti-collision algorithm.

Key words: radio frequency identification; multi-tree; anti-collision algorithm; collision factor

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