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: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
語言英文
ISSN2043-6394
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
國別英國
公開徵稿
出版型式,電子版,紙本
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