Location-aware computing becomes an exciting research as recent advancements in RF circuits and wireless communication stacks. In this paper, we present a fingerprinting based location estimation technology in ZigBee network. The system uses the signal strength from several base stations rather than time or angle for determining the location of mobile station. Instead of modeling the complex attenuation of signal strength, the system models the probabilistic distribution in different geographical areas which we called fingerprinting. It combines the measured data and fingerprinting to determine the mobile station’s location. The experiment results demonstrate the validity of location estimation in ZigBee network based on fingerprinting.


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    Title :

    Location estimation in ZigBee Network based on fingerprinting


    Contributors:
    Qingming Yao, (author) / Fei-Yue Wang, (author) / Hui Gao, (author) / Kunfeng Wang, (author) / Hongxia Zhao, (author)


    Publication date :

    2007-12-01


    Size :

    545354 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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