中文摘要：

针对射频识别（RFID）系统中多阅读器与多标签之间的数据碰撞问题,基于载噪比和差错感知,提出一种自适应分层协同防碰撞算法。分析RFID标签和阅读器的物理和电气属性,设计适用于多种应用场景的载噪比和差错感知分析模型。基于误码率和丢包率的变化规律,结合物理层和网络层的跨层设计,构建分层协同控制架构,解决多阅读器与多标签之间的数据容易发生碰撞的问题。实验结果表明,该算法在碰撞概率、标签识别率和阅读器寻呼次数等方面的性能均优于二叉树防碰撞算法。

英文摘要：

According to the data collision problem between multiple readers and multiple tags in Radio Frequency Identification（RFID） ,this paper proposes an adaptive hierarchical collaborative anti-collision algorithm based on Carrier to Noise Ratio（CNR） and error sensing. It analyzes the physical and electrical properties of RFID tags and readers. CNR and error sensing analysis model is designed for various application scenarios. The variation of bit error rate and packet loss rate is combined with the cross-layer design of physical layer and network layer to build a collaborative control architecture to solve the data collision problem between multiple readers and multiple tags. Experimental results show that the algorithm performs better on collision probability, tag recognition rate and the number of reader paging than the binary tree anti-collision algorithm.