A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems
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 sli...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720967894 |
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| _version_ | 1832553146519388160 |
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| author | Liqian Zhang Xueliang Fu Honghui Li |
| author_facet | Liqian Zhang Xueliang Fu Honghui Li |
| author_sort | Liqian Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b67d4b2bf3b247858e875c3c8f30b732 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b67d4b2bf3b247858e875c3c8f30b7322025-02-03T05:55:25ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-10-011610.1177/1550147720967894A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systemsLiqian Zhang0Xueliang Fu1Honghui Li2Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry, Hohhot, ChinaCollege of Computer and Information Engineering, Inner Mongolia Agriculture University, Hohhot, ChinaCollege of Computer and Information Engineering, Inner Mongolia Agriculture University, Hohhot, ChinaIn 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.https://doi.org/10.1177/1550147720967894 |
| spellingShingle | Liqian Zhang Xueliang Fu Honghui Li A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems International Journal of Distributed Sensor Networks |
| title | A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems |
| title_full | A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems |
| title_fullStr | A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems |
| title_full_unstemmed | A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems |
| title_short | A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems |
| title_sort | tags arrival rate estimation method using weighted grey model 1 1 and sliding window in mobile radio frequency identification systems |
| url | https://doi.org/10.1177/1550147720967894 |
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