期刊論文
學年 | 102 |
---|---|
學期 | 1 |
出版(發表)日期 | 2014-01-03 |
作品名稱 | Effective Neural Network-based Node Localisation Scheme for Wireless Sensor Networks |
作品名稱(其他語言) | |
著者 | Po-Jen Chuang; Yi-Jun Jiang |
單位 | 電機工程學系暨研究所 |
出版者 | |
著錄名稱、卷期、頁數 | IET Wireless Sensor Systems 4(2), pp. 97-103 |
摘要 | Wireless sensor networks usually obtain the location of an unknown node by measuring the distance between the unknown node and its neighbouring anchors. To enhance both localisation accuracy and localisation success rates, the authors introduce a new neural network-based node localisation scheme. The new scheme is distinct because it can make the trained network model completely relevant to the topology via online training and correlated topology-trained data and therefore attain more efficient application of the neural networks and more accurate inter-node distance estimation. It is also distinct in adopting both received signal strength indication and hop counts to estimate the inter-node distances, to improve the distance estimation accuracy as well as localisation accuracy at no additional cost. Experimental evaluation is conducted to measure the performance of the proposed scheme and other artificial intelligent-based node localisation schemes. The results show that, at reasonable cost, the new scheme constantly produces higher localisation success rates and smaller localisation errors than other schemes. |
關鍵字 | |
語言 | en |
ISSN | 2043-6394 |
期刊性質 | 國外 |
收錄於 | EI |
產學合作 | |
通訊作者 | Po-Jen Chuang |
審稿制度 | 是 |
國別 | GBR |
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/987654321/98384 ) |