《计算机应用研究》|Application Research of Computers

标签移动场景下的防碰撞算法研究

Research on anti-collision algorithm in tag moving scene

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作者 李辽,崔晓晖,李铭哲
机构 武汉大学 a.国家网络安全学院;b.计算机学院,武汉 430072
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文章编号 1001-3695(2020)06-014-1675-04
DOI 10.19734/j.issn.1001-3695.2018.12.0884
摘要 针对目前一些已有标签防碰撞算法大多应用于标签固定场景,而在标签移动场景下表现不佳的问题,提出了一种标签移动场景下(tag moving scene,TMS)的防碰撞算法。该算法首先对移入标签和驻留标签进行区分,然后对标签数量进行预估,最后基于标签预估值采用一种混合识别策略对标签进行识别。仿真实验结果显示,相较于其他算法,TMS算法在标签移动场景下可以有效降低标签识别时间,对RFID标签防碰撞算法的研究具有一定意义。
关键词 射频识别; 标签防碰撞; 标签预估; 标签识别时间
基金项目 国家重点研发计划资助项目(2018YFC1604000)
本文URL http://www.arocmag.com/article/01-2020-06-014.html
英文标题 Research on anti-collision algorithm in tag moving scene
作者英文名 Li Liao, Cui Xiaohui, Li Mingzhe
机构英文名 a.School of Cyber Science & Engineering,b.School of Computer Science,Wuhan University,Wuhan 430072,China
英文摘要 In order to solve the problem that some existing anti-collision algorithms are mostly applied in tag fixed scene but have poor performance in tag moving scene, this paper proposed an anti-collision algorithm in TMS. The algorithm first distinguished between the move-in tag and the resident tag, and then estimated the number of tags, finally used a hybrid recognition strategy to identify the tag based on estimated number of tags. The simulation results show that compared with other algorithms, TMS algorithm can effectively reduce the tag recognition time in tag moving scene, which has certain significance for the research of RFID tag anti-collision algorithm.
英文关键词 radio frequency identification(RFID); tag anti-collision; tag estimation; tag recognition time
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收稿日期 2018/12/19
修回日期 2019/2/18
页码 1675-1678
中图分类号 TP391.44
文献标志码 A