期刊論文
| 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 | en |
| ISSN | 2233-7857 |
| 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 | 否 |
| 國別 | KOR |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103157 ) |