教師資料查詢 | 類別: 期刊論文 | 教師: 莊博任 Chuang Po-jen (瀏覽個人網頁)

標題:IGAA: An Efficient Optimization Technique for RFID Network Topology Design in Internet of Things
學年103
學期2
出版(發表)日期2015/02/01
作品名稱IGAA: An Efficient Optimization Technique for RFID Network Topology Design in Internet of Things
作品名稱(其他語言)
著者Chuang, Po-Jen; Tsai, Wei-Ting
單位淡江大學電機工程學系
出版者Daedoek-Gu: Science and Engineering Research Support Society
著錄名稱、卷期、頁數International Journal of Future Generation Communication and Networking 8(1), pp.191-206
摘要Most RFID applications in the Internet of Things (IoTs) use multiple readers to read the IDs of multiple tags and form the RFID network. In such a network, unguarded reader deployment may generate over-crowded readers, cause interferences and, as a result, increases the deployment cost while degrading tag detection. Seeing that desirable reader deployment is crucial for RFID system performance, this paper introduces an optimization-based IGAA approach which outperforms existing RFID topology designs by turning up more favorable reader deployment and system performance. The new approach employs an advanced multi-objective fitness function and improved genetic annealing algorithms (GAA) to pursue a better RFID topology design. By involving an improved gene-stirring operation to help preserve good genes and locate optimal solutions for reader deployment, it is simple in operation but effective in practice. Experimental evaluation shows that when compared with related approaches, IGAA can yield better solution quality with less search time.
關鍵字RFID networks;topology design;optimization-based approaches;Genetic Annealing Algorithms (GAA);experimental evaluation.
語言英文
ISSN2233-7857
期刊性質國外
收錄於EI;
產學合作
通訊作者Chuang, Po-Jen
審稿制度
國別韓國
公開徵稿
出版型式,電子版,紙本
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