Traditional network localization algorithms contain ranging and localization steps, which have systematic disadvantages. We propose an algorithm dubbed direct particle filter based distributed network localization (DiPNet). A node’s location is directly estimated from the received signals, incorporating location uncertainty of neighboring nodes. The propagation effects on DiPNet become insignificant for dense networks, due to the massive-link collective physical layer processing. DiPNet achieves a near-optimal performance with low complexity, which is particularly attractive for realtime dense-network localization.


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    Title :

    Distributed Direct Localization Suitable for Dense Networks


    Contributors:


    Publication date :

    2019



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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