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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Decentralized localization using radio-fingerprints and accelerometer in WSNs


    Contributors:


    Publication date :

    2015-01-01


    Size :

    1102308 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Kernel-based machine learning using radio-fingerprints for localization in wsns

    Mahfouz, Sandy / Mourad-Chehade, Farah / Honeine, Paul et al. | IEEE | 2015


    Online Pricing Crowdsensed Fingerprints for Accurate Indoor Localization

    Tian, Xiaohua / Zhang, Wencan / Wang, Jingchao et al. | IEEE | 2017



    JLR: Joint localization and routing for energy balance and obstacle resistence in WSNs

    Li-Ling Hung, / Chih-Yung Chang, / Tzu-Lin Wang, et al. | IEEE | 2011


    APPROACH INDUCTION LANE IN WSNS

    Reddy, P.Tejaswini / Abdul Nabi, Dr. Sk. | BASE | 2018

    Free access