會議論文
學年 | 97 |
---|---|
學期 | 1 |
發表日期 | 2008-12-01 |
作品名稱 | An Effective PSO-Based Node Localization Scheme for Wireless Sensor Networks |
作品名稱(其他語言) | |
著者 | Chuang, Po-Jen; Wu, Cheng-Pei |
作品所屬單位 | 淡江大學電機工程學系 |
出版者 | New York: Institute of Electrical and Electronics Engineers (IEEE) |
會議名稱 | Parallel and Distributed Computing, Applications and Technologies, 2008. PDCAT 2008. Ninth International Conference on |
會議地點 | Dunedin , New Zealand |
摘要 | Wireless sensor networks (WSNs) usually employ different ranging techniques to measure the distance between an unknown node and its neighboring anchor nodes, and based on the measured distance to estimate the position of the unknown node. This paper presents an effective Particle Swarm Optimization (PSO)-based Localization Scheme using the Radio Signal Strength (RSS) ranging technique. Modified from the iterative multilateration algorithm, our scheme is unique in adopting the location data of remote anchors provided by the closest neighbor anchors of an unknown node to estimate the unknown nodepsilas position and using the PSO algorithm to further reduce error accumulation. The new scheme meanwhile takes in a modified DV-distance approach to raise the success ratios of locating unknown nodes. Compared with related schemes, our scheme is shown through simulations to perform constantly better in increasing localization success ratios and decreasing location errors -- at reduced cost. |
關鍵字 | Particle Swarm Optimization (PSO);Radio Signal Strength (RSS);Wireless sensor networks (WSNs);anchor nodes;localization success ratios;location errors.;node localization schemes;ranging techniques;simulations and performance evaluation |
語言 | en |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | |
研討會時間 | 20081201~20081204 |
通訊作者 | |
國別 | NZL |
公開徵稿 | Y |
出版型式 | |
出處 | Parallel and Distributed Computing, Applications and Technologies, 2008. PDCAT 2008. Ninth International Conference on, pp.187-194 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70303 ) |