文章基本信息

标题：A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems
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作者：Liqian Zhang ; Xueliang Fu ; Honghui Li 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2020
卷号：16
期号：10
页码：1
DOI：10.1177/1550147720967894
出版社：Hindawi Publishing Corporation
摘要：In order to guarantee the tag identification accuracy and efficiency in mobile radio frequency identification system, it is necessary to estimate the tags’ arrival rate before performing identification. This research aims to develop a novel estimation method based on improved grey model(1,1) and sliding window mechanism. By establishing tags’ dynamic arrival model, this article emphasizes the importance of tags’ arrival rate estimation in mobile radio frequency identification system. Using sliding window mechanism and weighted coefficients method, weighted grey model(1,1) with sliding window (WGMSW(1,1)) is proposed based on traditional grey model(1,1). For experimental verification, three kinds of data are used as original data in WGMSW(1,1). The experimental results show that the proposed method has lower estimation error rate, lower computation complexity, and high system stability.
关键词：Mobile radio frequency identification system; weighted grey model; tags’ arrival rate; slide window