计算机工程与应用 ›› 2016, Vol. 52 ›› Issue (20): 114-117.

• 网络、通信与安全 • 上一篇    下一篇

静态环境中分组ALOHA防碰撞算法研究

潘思丞1,王慧琴1,张小红2,3   

  1. 1.西安建筑科技大学 信息与控制工程学院,西安 710055
    2.西安建筑科技大学 管理学院,西安 710055
    3.西安科技大学 通信与信息工程学院,西安 710054
  • 出版日期:2016-10-15 发布日期:2016-10-14

Research on anti-collision algorithm of block ALOHA in static environment

PAN Sicheng1, WANG Huiqin1, ZHANG Xiaohong2,3   

  1. 1.School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    2.School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
    3.School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
  • Online:2016-10-15 Published:2016-10-14

摘要: 为解决射频识别技术RFID中大数量标签防碰撞问题,针对静态环境下标签数目的可预知性,提出一种适用于静态环境中的大数量标签防碰撞算法。在避开了动态帧时隙DFSA算法面临的难点同时,将二进制树形分解思想引入到基本帧时隙BFSA算法中,根据标签的有效编码位对标签进行分组,再分别对每组标签采用基本帧时隙BFSA算法。借助Matlab软件进行仿真实验,结果显示采用改进的算法后,标签发生碰撞的几率减小。

关键词: 射频识别, 防碰撞, 静态环境, 基本帧时隙(BFSA)算法

Abstract: In order to solve the large number of RFID tag anti-collision in radio frequency identification technology problem, according to the static environment predictable number of labels, this paper proposes an anti-collision algorithm for static environment in large number of labels. Avoiding the difficulties faced by dynamic frame slot DFSA algorithm, the binary tree decomposition ideological is introduced to basic frame slot BFSA algorithm, according to the valid tag coded bits are grouped on the label, and then separately for each group of labels using the basic frame slot BFSA algorithms. Simulation experiment is carried out by using the software of Matlab, the results show that the improved algorithm can reduce the chance of label collision.

Key words: radio frequency identification, anti-collision, static environment, Basic Frame Slotted Aloha(BFSA) algorithm