A significant challenge in 802.11p based vehicular ad hoc networks (VANETs) is that the cooperative awareness messages (CAMs) tend to experience collisions. In this paper, we propose an adaptive CAM messaging algorithm based on the emerging methodology of the age of information (AoI). Our objective is to minimize an age-penalty function in a trajectory prediction application. In our design, each vehicle will compute a local penalty which serves as an indicator on whether the CAM messaging frequency is appropriate for its mobility status; and at the same time, calculates an appropriate penalty associated with all its neighbors which serves as an indicator regarding the impact of network congestion on the trajectory prediction quality. The aggregated penalty score integrating both the local and neighboring parts will be used to adaptively control the CAM sending frequency. We are to present simulation results demonstrating that our adaptive messaging method can indeed mitigate network congestion while meet the driving safety requirements.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Messaging based on the Age of Information in VANETs


    Beteiligte:

    Erscheinungsdatum :

    2022-12-05


    Anmerkungen:

    oai:zenodo.org:7773805



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    000 / 629




    Adaptive information hovering in VANETs: Robustness and enhancements

    Xeros, Andreas / Constantinides, Themis / Lestas, Marios et al. | IEEE | 2013


    Adaptive channel estimation for VANETs

    Skupin,C. / Hofmann,F. / Garcia,A. et al. | Kraftfahrwesen | 2010


    Adaptive channel estimation for VANETs

    Skupin, Christian / Hofmann, Frank / Garcia, Alejandro et al. | Tema Archiv | 2010


    Channel Adaptive One Hop Broadcasting for VANETs

    Yang, Lin / Guo, Jinhua / Wu, Ying | IEEE | 2008


    SATMAC: Self-Adaptive TDMA-Based MAC Protocol for VANETs

    Wu, Jingbang / Lu, Huimei / Xiang, Yong et al. | IEEE | 2022