6G of mobile networks plays a crucial role in improving the capacity and enhancing the quality of services of Vehicle-to-Everything (V2X) based networks evolving in an intelligent environment. VANET is a promising project in the intelligent transportation field using V2X communications. The emergence of several 5G and 6G technologies has raised several challenges for scientists and researchers to allow vehicles and road users to enjoy several services while ensuring their safety on the road. Among these technologies, the unmanned aerial vehicle (UAV), which can perform different tasks for road users and vehicle drivers such as data caching, packet relaying and processing. In this article, we present a new approach based on 6G Unmanned Aerial Vehicles (UAV) technology on a vehicular cloud architecture while exploiting the exchange support of information-centric networking (ICN) for the improvement of network capacity.


    Access

    Download


    Export, share and cite



    Title :

    Improving V2X-6G network capacity using a new UAV-based approach in a Cloud/ICN architecture, case Study: VANET network


    Contributors:


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Improving VANET protocols via network science

    Monteiro, Romeu / Sargento, Susana / Viriyasitavat, Wantanee et al. | IEEE | 2012


    VEHICLE AD HOC NETWORK (VANET)

    MILNE JAMES R / CARLSSON GREGORY PETER / ZUSTAK FREDERICK J | European Patent Office | 2016

    Free access

    VEHICLE AD HOC NETWORK (VANET)

    MILNE JAMES R / CARLSSON GREGORY PETER / ZUSTAK FREDERICK J | European Patent Office | 2016

    Free access

    Vehicle ad hoc network (VANET)

    MILNE JAMES R / CARLSSON GREGORY PETER / ZUSTAK FREDERICK J | European Patent Office | 2016

    Free access

    VEHICLE AD HOC NETWORK (VANET)

    MILNE JAMES R / CARLSSON GREGORY PETER / ZUSTAK FREDERICK J | European Patent Office | 2016

    Free access