摘要
在RFID系统中,由标签引起的冲突一直是影响RFID系统性能的重要因素。为了进一步提高RFID系统中电子标签的识别效率,在对现有的ALOHA算法分析的基础上,提出了一种改进的分组动态帧时隙ALOHA算法。该算法通过改变标签分组的方法提高了阅读器识别标签的效率。当标签数量大于256时,该算法能有效地减少阅读器的识别时间,提高了RFID系统的标签识别效率。仿真结果表明:当标签数为1000时,该算法比基本帧时隙ALOHA算法和动态帧时隙ALOHA算法所用时隙数分别减少了43%和39%。
In RFID systems, the collision resulted from tags has been a major factor affecting system performance. In order to further im- prove the identification efficiency of tag anti-collision algorithm in RFID system,it proposes an improved packet dynamic frame slotted ALOHA algorithm based on the analysis of the existing ALOHA algorithm. The proposed algorithm uses a new grouping method to improve the reader＇s identification efficiency of tag. When the number of tags is larger than 256, the algorithm can effectively reduce the reader＇s recognition time, improving the efficiency of the RFID system. Simulation results show that the proposed algorithm reduces the system slot time by 43% and 39% respectively compared with the basic framed slotted ALOHA algorithm and dynamic framed slotted ALOHA algorithm when the number of tags is 1000.
出处
《计算机技术与发展》
2011年第11期39-41,45,共4页
Computer Technology and Development
基金
南京邮电大学引进人才启动项目(NY207024)
关键词
射频识别
帧时隙
防碰撞算法
标签估计
radio frequency identification （RFIDI
frame slot
anti-collision algorithm
tag estimation
