摘要： 为解决大规模射频识别环境下的标签碰撞问题,在传统Q算法的基础上,提出一种基于Q值调整的标签防碰撞算法。分析c-Q的优化关系,将阶梯型的c-Q关系用于Q值调整,根据系统识别效率及当前已读帧识别情况优化Q值调整方案,通过增加吞吐率、碰撞率及空闲率等限制条件,减少Q值的频繁调整和不当调整次数。仿真结果表明,与传统Q算法相比,该算法可明显减少Q值的调整次数,达到降低系统功耗及提高吞吐率的目的。
关键词:
射频识别,
标签防碰撞,
Q算法,
Q值调整,
碰撞率,
空闲率
Abstract: In order to effectively solve the problem of tag collision in the large scale Radio Frequency Identification(RFID) environment,on the basis of the traditional Q algorithm,this paper proposes a tag anti-collision algorithm based on Q value adjustment.This algorithm studies the optimization relations of c-Q,and chooses the scalar c-Q relationship for the Q value adjustment.The system identification efficiency and the identification situation of the current read frame are also used to optimize the Q adjustment scheme.It adds more conditions including throughput rate,collision rate and idle rate to reduce the frequent adjustment and improper adjustment for Q value.The simulation results show that this algorithm can significantly reduce the number of Q value adjustment and achieve the purpose of reducing system power consumption and improving system throughput rate.
Key words:
Radio Frequency Identification(RFID),
tag anti-collision,
Q algorithm,
Q value adjustment,
collision rate,
idle rate
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