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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98384

    Title: Effective Neural Network-based Node Localisation Scheme for Wireless Sensor Networks
    Authors: Po-Jen Chuang;Yi-Jun Jiang
    Contributors: 電機工程學系暨研究所
    Date: 2014-01-03
    Issue Date: 2014-07-23 18:12:58 (UTC+8)
    Abstract: 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.
    Relation: IET Wireless Sensor Systems 4(2), pp. 97-103
    DOI: 10.1049/iet-wss.2013.0055
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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