基于标签分组的动态帧时隙ALOHA算法

ALOHA algorithm of dynamic frame timeslot based on label grouping

为解决无线射频识别技术系统中的多标签碰撞问题,提出一种基于标签分组的动态帧时隙ALOHA算法。将标签以ID信息分组为256个组后,阅读器按照标签ID号连续抽取8组,从该8组里每组挑取一个标签进行查询识别,标签收到命令后发送识别请求,阅读器记录碰撞时隙和空闲时隙数量情况并返回数值,标签以此调整时隙进行信息发送,标签按照确定的时隙发送信息进行识别,识别直到该8组内无标签后转至下一个8组进行识别。仿真结果表明,使用该方法明显减少了总时隙数、碰撞时隙数和空时隙数,提高了系统识别效率。

To solve the problem of multi tag collision in RFID system,a dynamic frame time slot ALOHA algorithm based on tag grouping was proposed.The tags were divided into 256 groups with ID information.The reader extracted 8 groups continuously according to the tag ID number,and one tag from each group of the 8 groups was selected for query and identification.The tag sent the identification request after receiving the command.The reader recorded the number of collision timeslots and idle timeslots and returned the value.The tag adjusted the timeslot to send the information,and the tag sent the information according to the determined timeslot.The information was identified and transferred to the next 8 groups for identification until there was no label in the 8 groups.The simulation results show that the total number of time slots,collision time slots and space time slots are significantly reduced,and the efficiency of system identification is improved.