This paper presents fog-enabled WLANs for indoor positioning, which can meet its requirements of low latency and high precision. Firstly, we present software-defined and virtualized WLANs, which could be divided into four layers, i.e., application layer, control layer, infrastructure layer and terminal layer. Secondly, we introduce fog computing into software-defined and virtualized WLANs to build fog-enabled WLANs, and move the positioning function from the cloud layer to the fog layer, which includes distributed fog nodes with diverse computing, network and storage resources. Thirdly, we implement an indoor positioning algorithm for distributed fog nodes, instead of cloud servers, to compute the positions of devices. Finally, we build a testbed of fog-enabled WLANs for indoor positioning based on open-source software. Experimental results verify the feasibility of the fog-enabled WLANs, and that the positioning delay and accuracy can be effectively guaranteed.


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    Title :

    Fog-Enabled WLANs for Indoor Positioning


    Contributors:
    Guo, Yanjun (author) / Zhao, Liqiang (author) / Wang, Yong (author) / Liu, Qi (author) / Qiu, Jiahui (author)


    Publication date :

    2019-04-01


    Size :

    627078 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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