【作者】 曹小华； 周强；

【Author】 Cao Xiaohua,Zhou Qiang Wuhan University of Technology,Wuhan 430063,P.R.China

【机构】 武汉理工大学；

【摘要】 本文分析了时隙Aloha法在智能标签识别防冲突中的不足,提出了一种新的基于子集划分与动态匹配机制的智能标签防冲突算法,它改进了ISO/IEC15693标准中的自匹配模式,根据时间片划分标签子集,动态调整匹配范围,以减少标签冲突,提高系统吞吐率、识别效率和成功率。最后通过计算机模拟仿真,将该算法与Aloha等其他算法之间进行比较。结果表明,新冲突算法在待识别标签数量较大的情况下明显提高了识别效率、识别成功率和吞吐量,具有较强的应用价值。更多还原

【Abstract】 A collision will occur when more than one tag is read by the reader in the RFID system.The Slotted Aloha algo-rithm is presented to solve tag collision problem.But it has some deficiencies when the number of tags is great.An anti-collision algorithm based on subset-division and dynamic-matching mechanism was presented to advance it in this work.It divided the intelligent tags into different subsets according to time-slices and adjusted dynamically the matching area to re-duce the collision probabilities.The simulation results show that compared with slotted aloha,the new anti-collision algorithm enhances obviously the identifying efficiency,success-identifying rate and throughput,and its success-identifying rate can reach 95% even though the number of tags is great.It takes on better application value.更多还原