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。
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 staticenvironment in large number of labels. Avoiding the difficulties faced by dynamic frame slot DFSA algorithm, the binarytree decomposition ideological is introduced to basic frame slot BFSA algorithm, according to the valid tag coded bits aregrouped on the label, and then separately for each group of labels using the basic frame slot BFSA algorithms. Simulationexperiment is carried out by using the software of Matlab, the results show that the improved algorithm can reduce thechance of label collision.
作者
潘思丞
王慧琴
张小红
PAN Sicheng;WANG Huiqin;ZHANG Xiaohong(School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China;School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China;School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)
出处
《计算机工程与应用》
CSCD
北大核心
2016年第20期114-117,共4页
Computer Engineering and Applications
基金
教育部高等学校博士学科点专项科研基金(No.20126120110008)
教育厅提供专项科研项目(No.2013JK1144)
陕西省自然科学基础研究计划项目(No.2012JQ8021)
陕西省教育厅产业化项目资助(No.2011JG12)
西安建筑科技大学校青年基金(No.QN1429)
西安科技大学培育基金项目(No.201256)
关键词
射频识别
防碰撞
静态环境
基本帧时隙(BFSA)算法
radio frequency identification
anti-collision
static environment
Basic Frame Slotted Aloha(BFSA)algorithm
