{"title":"A Middleware-Based Model for Redundant Reader Elimination Using Plant Growth Simulation Algorithm","authors":"Shilei Lv, Shunzheng Yu","doi":"10.1109/CIS.2013.15","DOIUrl":null,"url":null,"abstract":"Eliminating redundant readers is a significant way to improve the performance of the radio frequency identification (RFID) networks. This paper proposes a middleware-based model for redundant reader elimination, which is formulated as a multi-dimensional optimization problem. It uses the data in RFID middleware to distinguish redundant readers and no \"write-to-tag\" operations are required. The Plant Growth Simulation Algorithm (PGSA) is employed to search the optimal adjustable parameters. The simulation results reveal that the proposed approach outperforms other algorithms in terms of optimization precision and computing time.","PeriodicalId":294223,"journal":{"name":"2013 Ninth International Conference on Computational Intelligence and Security","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2013.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Eliminating redundant readers is a significant way to improve the performance of the radio frequency identification (RFID) networks. This paper proposes a middleware-based model for redundant reader elimination, which is formulated as a multi-dimensional optimization problem. It uses the data in RFID middleware to distinguish redundant readers and no "write-to-tag" operations are required. The Plant Growth Simulation Algorithm (PGSA) is employed to search the optimal adjustable parameters. The simulation results reveal that the proposed approach outperforms other algorithms in terms of optimization precision and computing time.