基于分组动态帧时隙ALOHA防碰撞算法研究

为解决射频识别系统中多标签防碰撞问题,在现有ALOHA算法的基础上提出了一种改进的分组动态帧时隙ALOHA算法。当大量标签同时进入阅读器识别范围内时,算法通过设置一个阈值把要响应的标签分成两组,符合条件的一组去响应阅读器,不符合条件的暂时不响应,该算法通过分组限制响应标签数量达到较高的识别效率。仿真结果表明,该算法在标签数大于256甚至更多时识别效率也能维持在相对较高的数值。

Tag Anti-collision Algorithm based on Dynamic Frame Slotted ALOHA

In order to solve the problem of collision between multi-tag in RFID （Radio Frequency Identification） system, an improved grouped dynamic frame slotted ALOHA algorithm based on the existing ALOHA algorithm is proposed. When large numbers of tags come to this filed at the same time, the algorithm would divide them into two groups through the prcset threshold. One group that match as the condition would respond to the reader, while the other group not. This algorithm can achieve high discernment efficiency by grouping and restricting the number of responsding tags. Simulation results show that, the identification efficiency is maintained at a relatively high value when the number of tags in the algorithm is greater than 256.