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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2017年第9期81-86,共6页
Computer Engineering
基金
国家自然科学基金(61301092
61571370)
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
Radio Frequency Identification（RFID）
tag anti-collision
Q algorithm
Q value adjustment
collision rate
idle rate
