In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,w...In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,which results in a collision and leads to the degrading of tags identifying efficiency.To improve the multiple tags’identifying efficiency due to collision,a physical layer network coding based binary search tree algorithm(PNBA)is proposed in this paper.PNBA pushes the conflicting signal information of multiple tags into a stack,which is discarded by the traditional anti-collision algorithm.In addition,physical layer network coding is exploited by PNBA to obtain unread tag information through the decoding operation of physical layer network coding using the conflicting information in the stack.Therefore,PNBA reduces the number of interactions between reader and tags,and improves the tags identification efficiency.Theoretical analysis and simulation results using MATLAB demonstrate that PNBA reduces the number of readings,and improve RFID identification efficiency.Especially,when the number of tags to be identified is 100,the average needed reading number of PNBA is 83%lower than the basic binary search tree algorithm,43%lower than reverse binary search tree algorithm,and its reading efficiency reaches 0.93.展开更多
无线射频识别(radio frequency identification,RFID)系统中的标签识别速率直接决定了系统性能,设计一个高效的标签防碰撞方法能够有效提升读写器的识别效率,并降低读写器和标签所消耗的能量.在分析已有的两类防碰撞算法性能的基础上,...无线射频识别(radio frequency identification,RFID)系统中的标签识别速率直接决定了系统性能,设计一个高效的标签防碰撞方法能够有效提升读写器的识别效率,并降低读写器和标签所消耗的能量.在分析已有的两类防碰撞算法性能的基础上,提出了一类融合帧时隙ALOHA思想与二进制树思想的新型防碰撞算法.4种新型算法在算法性能上稳步提升,系统能量消耗也呈递减趋势,特别适合手持式电池供能的读写器.仿真结果表明,自适应帧的二进制防碰撞算法(SA-FBS)在减少碰撞时隙上明显优于传统的防碰撞算法.展开更多
基金the National Natural Science Foundation of China under Grant 61502411Natural Science Foundation of Jiangsu Province under Grant BK20150432 and BK20151299+7 种基金Natural Science Research Project for Universities of Jiangsu Province under Grant 15KJB520034China Postdoctoral Science Foundation under Grant 2015M581843Jiangsu Provincial Qinglan ProjectTeachers Overseas Study Program of Yancheng Institute of TechnologyJiangsu Provincial Government Scholarship for Overseas StudiesTalents Project of Yancheng Institute of Technology under Grant KJC2014038“2311”Talent Project of Yancheng Institute of TechnologyOpen Fund of Modern Agricultural Resources Intelligent Management and Application Laboratory of Huzhou Normal University.
文摘In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,which results in a collision and leads to the degrading of tags identifying efficiency.To improve the multiple tags’identifying efficiency due to collision,a physical layer network coding based binary search tree algorithm(PNBA)is proposed in this paper.PNBA pushes the conflicting signal information of multiple tags into a stack,which is discarded by the traditional anti-collision algorithm.In addition,physical layer network coding is exploited by PNBA to obtain unread tag information through the decoding operation of physical layer network coding using the conflicting information in the stack.Therefore,PNBA reduces the number of interactions between reader and tags,and improves the tags identification efficiency.Theoretical analysis and simulation results using MATLAB demonstrate that PNBA reduces the number of readings,and improve RFID identification efficiency.Especially,when the number of tags to be identified is 100,the average needed reading number of PNBA is 83%lower than the basic binary search tree algorithm,43%lower than reverse binary search tree algorithm,and its reading efficiency reaches 0.93.
文摘无线射频识别(radio frequency identification,RFID)系统中的标签识别速率直接决定了系统性能,设计一个高效的标签防碰撞方法能够有效提升读写器的识别效率,并降低读写器和标签所消耗的能量.在分析已有的两类防碰撞算法性能的基础上,提出了一类融合帧时隙ALOHA思想与二进制树思想的新型防碰撞算法.4种新型算法在算法性能上稳步提升,系统能量消耗也呈递减趋势,特别适合手持式电池供能的读写器.仿真结果表明,自适应帧的二进制防碰撞算法(SA-FBS)在减少碰撞时隙上明显优于传统的防碰撞算法.