This paper considers the problem of decentralized localization in wireless sensor networks (WSNs). The problem is set by combining both radio-fingerprints and accelerometer information. It is then resolved in a decentralized manner where the surveillance area is divided into several zones equipped with calculators. The proposed algorithm consists of computing first estimates using received signal strength indicator (RSSI)-fingerprints, then correcting them using accelerometer information leading to more accurate estimates. Computations are performed using the interval analysis and the Kalman filter in a simulated environment.


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    Titel :

    Decentralized localization using radio-fingerprints and accelerometer in WSNs


    Beteiligte:
    Xiaowei Lv (Autor:in) / Mourad-Chehade, Farah (Autor:in) / Snoussi, Hichem (Autor:in)


    Erscheinungsdatum :

    01.01.2015


    Format / Umfang :

    1102308 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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