密集环境下RFID系统滤波方法研究

Research on RFID filtering approach in dense environments

从海量射频识别(RFID)标签数据中滤除冗余标签信息成为RFID应用中亟需解决的问题。读滤波方法标签数据源数量大,滤波效率较低。基于阅读器读滤波算法及空中接口标签群管理方法,提出利用几何方法的空中接口滤波算法;结合读滤波及空中接口滤波算法,提出一种新的RFID系统滤波方法。利用查询概率模型及滤波时间测试方法,对所提出滤波方法进行仿真测试。测试结果表明,相较于读滤波方法,该方法滤波效率提高了50%。

It is critical to filter out the unnecessary ID data because of the huge volumes of RFID data in practical application requirements. The data source of traditional reader-filter method is extensive, which reduces system filtering efficiency. Based on the methods of reader-filter and RFID tag population management in air-protocol, a geometrical filtering algorithm for air-protocol is derived. Combining with the traditional reader-filter, a complete system filtering method is presented. Utilizing the probabilistic model of inventory operation and the means of analytical filtering time measurement, the perfor-mance of the method proposed is evaluated. The simulation results show that the novel system filtering method reduces the overall filtering time by almost 50%compared to the reader-filer technique.