一种双权重参数的RFID防碰撞Q值算法研究

Research on Double Weight Parameter Anti-collision QValue Algorithm in RFID System

标签防碰撞算法是RFID技术研究的热点,也是高强度、大规模应用的关键。在研究了EPC-C1G2标准防碰撞机制中推荐的Q值调整算法的特点后,针对其不足,提出了一种双参数的Q值调整算法——ODWQA,详细阐述了算法的思想、运算流程和关键参数确定方法。在ODWQA算法中,将单一的调整参数c分解为两个权重参数c1和c2,分别对应着碰撞和空闲两种情况,用来调控碰撞时隙和空闲时隙的个数。接着通过实验分析,确定了在不同Q值条件下权重参数c1和c2的最优取值。最后对ODWQA算法进行了仿真测试,结果表明,该算法能够有效减少碰撞时隙的个数,增大系统的吞吐率,降低标签的识别时延。

One of hot research in RFID technology is Tag anti-collision algorithm,which is the key to high strength and large-scale application.Firstly,this paper analyzed the characteristics of the Q value adjustment algorithm recommended in the EPC-C1G2 standard anti-collision mechanism.In order to solve the Q values adjusting algorithm problem,a new Q value of double parameter adjusting algorithm,called ODWQA algorithm,was proposed.The idea of algorithm,the process of operation and the key parameter determination method were introduced.In this algorithm,by splitting the single parameter c into two weight parameter c1 and c2 to deal with the case of collision and idle respectively so that the number of collision slots and idles slots can be controled.Followed by laboratory analysis,the value of the best weight parameters under different Q values was determined.Simulation results show that the proposed algorithm can not only decrease the number of collision slots but increase the system throughput and fewer time slots than previous work.