摘要
为了防止井下人员定位系统中多个射频标签同时向阅读器发送识别信息时产生的碰撞问题,提出了一种基于分组思想的时隙ALOHA算法。该算法是在待识别的大量标签中随机选择一部分进行读取,使碰撞概率大大降低。计算机仿真表明,该算法可以有效解决多目标识别的防碰撞问题。
In order to avoid signal collision occurs when more than one tag send the recognition information to the reader with function of personnel tracking system in mine,slotted ALOHA algorithm based on the idea of grouping is proposed.In this algorithm,the reader selects partial tags among the waiting tags to read,so the probability of collision reduces grately.The results of simulation proves that this algorithm can resolve the problem of collision of many tags.
出处
《露天采矿技术》
CAS
2008年第6期66-69,共4页
Opencast Mining Technology
关键词
井下人员定位系统
防碰撞算法
分组思想
时隙ALOHA算法
underground mine personnel tracking system
anti-collision algorithm
idea of grouping slotted ALOHA algorithm
