In this paper, we study the problem of estimating mobility trajectories via a small number of measurements from realistic mobility traces. We propose a frame-based solution to estimate the complete mobility trace at the end of the frame. During each frame, a few measurements are transmitted via vehicular communications, and then estimation is performed at the receiver. We propose different sampling schemes to estimate the mobility trajectory at the end of the frame, and we compare it to the actual mobility trace. The proposed scheme is designed as a practical system for vehicular mobility estimation, and is suitable for road traffic management applications. We study the proposed mobility estimation scheme via simulations with realistic mobility traces generated by Paramics simulator [1]. The data are based on a realistic map of the Gardinar Expressway in the city of Toronto. Extensive simulation results shows that the proposed scheme can significantly reduce the number of transmitted samples while providing a good estimate of the mobility traces.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Frame-based mobility estimation via compressive sensing in delay-tolerant vehicular networks


    Contributors:


    Publication date :

    2014-09-01


    Size :

    536725 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Vehicular data offloading for resource-limited delay tolerant networks

    Bentley, Elizabeth Serena / Suprenant, Joseph / Reichhart, Stephen | IEEE | 2017


    Improving Bivious Relay Selection in Vehicular Delay Tolerant Networks

    Ahmed, Syed Hassan / Mu, Dixiao / Kim, Dongkyun | IEEE | 2018