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- 2017
血液管理RFID多标签识别碰撞避免方法
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Abstract:
EPCglobal_Class1 Gen2协议标准中的动态帧时隙ALOHA标签防碰撞Q算法没有完全消除空时隙,浪费了时序资源,在血液管理这种实时性要求高、标签数量大的情况下是不能接受的。该文提出一种多标签识别碰撞避免方法,将标签识别过程分为两次时隙预分配和标签识别2个阶段,消除了Class1 Gen2协议的空时隙以提高时间利用率。对血液管理应用场景进行了数值仿真分析,结果表明该方法能够显著提高标签识别效率。
Abstract:The dynamic frame slotted ALOHA tag anti-collision Q algorithm in the EPCglobal_Class1 Gen2 protocol fails to remove empty slots, which leads to a waste of the slots. This is unacceptable in blood management which requires real-time handling and a large number of tags. A multi-tag identification and collision avoidance method was developed that divides the tag identification into two slot pre-assignments and tag identification. This helps eliminate empty slots in the Class1 Gen2 protocol which improves availability. Simulations of a blood management system indicate that this method significantly improves tag identification efficiency.