Effective Neural Network-based Node Localisation Scheme for Wireless Sensor Networks
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
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機構典藏連結
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