摘要
标签防碰撞技术是射频识别系统中提高系统识别性能的关键技术。通过分析实际应用中标签识别码分段表示不同信息的现象,提出一种新的防碰撞算法。该算法首先按照标签识别码中的公司、物品编码及物品序列号的最高位利用查询树算法对所有标签进行分组,每分完一组,则通过动态帧时隙ALOHA算法识别该组标签并将识别的标签个数作为下一帧的初始时隙数。通过MATLAB仿真对比,结果表明当标签种类不超过32种,数量在500以上时,所提方法在总识别时间基本不变的情况下,标签碰撞次数方面优于查询树算法和动态帧时隙ALOHA算法。
Tag anti-collision technology is a key technology to improve the performance of recognition in radio frequency identification sys- tems. By analysing the phenomenon in real application that each part in tag identification code represents different information, this paper pro- poses a new anti-collision algorithm. First, it separates all the tags into different groups resorting to the query tree algorithm based on company code and product code in tag identification code and on the top bit of product＇ s serial number. When every group is separated out, the algo- rithm reeognises its tags with dynamic frame slotted ALOHA algorithm, and keeps the tags＇ number of the group as the initial number of the slot of next frame. Through the comparison of MATLAB simulation, the results show that when the kinds of tags are less than 32 and the num- ber of tags is more than 500, the new anti-collision algorithm outperforms the query tree algorithm and the dynamic frame slotted ALOHA algo- rithm in terms of the number of tag collisions on the condition that the total recognition time is basically unchanged.
出处
《计算机应用与软件》
CSCD
2015年第7期252-254,304,共4页
Computer Applications and Software
基金
河北省高等学校科学技术研究指导项目(Z2012135)
