摘要
针对大规模无线射频识别系统中,现存标签估计算法估计时间随标签数量增加而线性增加,以及误差较大的问题,提出一种基于0-1分布的标签估计算法。该算法利用0-1分布的特性,通过设定特定帧长及选择标记,来选择响应盘存命令的标签集合,使得估计时间降低为标签数量的对数级,并通过多次随机重复取均值来降低估计误差。仿真结果表明,该算法比其他算法估计误差至少降低0.9%,且波动性更小。
In the large-scale Radio Frequency Identification（RFID） system,the estimated time of current tag estimation algorithms increase linearly with the increase of tags,and the deviation is large.Regarding these problems,a new estimation algorithm based on 0-1 distribution was proposed.By using the feature of 0-1 distribution,the algorithm set the specific frame length and selected flag to choose the collection of tags which responded to the command of query.In this way,estimation time was reduced to the logarithmic level of tag number and the deviation was reduced through picking numerous average values randomly.Compared with other algorithms,the simulation results show that the proposed algorithm drops deviation at least by 0.9%,and has less fluctuation.
出处
《计算机应用》
CSCD
北大核心
2013年第8期2128-2131,共4页
journal of Computer Applications
关键词
无线射频识别
标签识别
标签估计
对数级
0-1分布
Radio Frequency IDentification（RFID）
tag identification
tag estimation
logarithmic
0-1 distribution
