摘要
多个电子标签识别的碰撞问题影响射频识别技术的应用与发展,系统的吞吐率与消耗时隙数直接反映防碰撞算法的性能。文中提出一种通过遗传算法搜寻最小向量模值确定标签数目的方法,当标签数目超过240个时,遗传算法估算的结果略好于Vogt算法;将动态帧时隙算法与改进的二进制树形识别方法相结合,对16~800个标签进行识别。仿真实验结果表明:系统的吞吐率最大值约为52%,最小值约为45%,比纯动态帧时隙算法和固定帧时隙算法分别提高8%和11%以上;所消耗的时隙数比纯动态帧时隙和固定帧时隙分别减少23个和120个以上。
The collision problem of identification to multiple electronic tag affects the application and the development of RFID technology, the throughput and traffic data of the system reflect directly the performance of the anti-collision algorithm.A method for determining the number of tags by searching for the minimum vector modulus is proposed,when the number of tags exceeds 240.The estimation result of the genetic algorithm is slightly better than that of Vogt algorithm.The DFSA is combined with the improved binary tree recognition method, 16 ~ 800 tags are identified.Simulation results show that the maximum and minimum throughput rates of the system are about 52% and 45%.It is more than 8% and 11% higher than that of the pure DFSA and the fixed FSA, respectively.The consumed numbers of slots decrease 23 and 120 than that of the pure DFSA and the fixed FSA, respectively.
作者
李勇
王琼
LI Yong;WANG Qiong(College of Engineering and Technology,Chengdu University of Technology,Leshan 614007,China;Southwestern Institute of Physics,Chengdu 610041,China)
出处
《南京邮电大学学报(自然科学版)》
北大核心
2019年第4期33-38,共6页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金
四川省教育厅重点项目(17ZA0045)资助项目