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基于锁位的奇偶分区二进制树算法
引用本文:汤宏斌,周尚波.基于锁位的奇偶分区二进制树算法[J].重庆邮电大学学报(自然科学版),2017,29(3):416-420.
作者姓名:汤宏斌  周尚波
作者单位:1. 重庆第二师范学院数学与信息工程系,重庆400067;重庆大学计算机学院,重庆400044;2. 重庆大学计算机学院,重庆,400044
基金项目:重庆市基础与前沿研究计划项目(cstc2014jcyjA40037)
摘    要:无线射频识别(radio frequency identification,RFID)是物联网的技术核心,防碰撞技术则是FRID必须面对的问题,针对二进制树算法时延较长,寻呼次数过多,效率低下的特点,在现有改进的二进制树算法基础上,提出一种奇偶区域锁位的二进制树算法.通过将寻呼区域划分为奇偶2个区域,并进行分区搜索,在每个搜索周期内,自动识别1位或2位碰撞标签,减少了寻呼次数,以提高搜索效率;采取增加锁位寻呼指令,将标签的应答位数限制在只传送发生碰撞的比特上,由于每次寻呼的时候,已经检测出的比特位无需再传输,可以减少总的传输比特数量,大大降低了传输时延,理论分析和仿真结果都表明该算法的有效性和优越性.

关 键 词:无线射频识别  奇偶区域  锁位  防碰撞  二进制树
收稿时间:2016/7/9 0:00:00
修稿时间:2017/4/21 0:00:00

A bit-locking binary tree algorithm based on odd even zone
TANG Hongbin and ZHOU Shangbo.A bit-locking binary tree algorithm based on odd even zone[J].Journal of Chongqing University of Posts and Telecommunications,2017,29(3):416-420.
Authors:TANG Hongbin and ZHOU Shangbo
Affiliation:School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing 400067, P.R. China; College of Computer Science, Chongqing University, Chongqing 400044, P.R. China and College of Computer Science, Chongqing University, Chongqing 400044, P.R. China
Abstract:RFID technology is the core of the Internet of Things, Anti-collision technique is a key technique and research focus in the RFID system. In view of the inefficient of the binary tree algorithm with long delay and too much inquiry. This article is based on collision technology of radio frequency identification (RFID) technology. On the basis of many binary tree search algorithm existed, We present a new algorithm, which combine odd-even zone with bit-locking back off anti-collision algorithm. The inquiring area is divided into two zone, The dividing odd-even zone can improve the efficiency of search, while the bit-locking back off anti-collision algorithm can reduce transmission delay. Both theory and simulation results show the effectiveness and superiority of the algorithm.
Keywords:radio frequency identification  odd-even zone  bit-locking  anti-collision  binary tree
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