As the automotive landscape advances towards autonomy, the integration of Vehicular Ad-Hoc Networks (VANETs) and Roadside Units (RSUs) plays a pivotal role in shaping the future of intelligent transportation systems. This research explores the synergies between VANETs and RSU clusters to enhance communication, coordination, and safety for autonomous vehicles. The study proposes a novel approach where RSUs are strategically organized into clusters, optimizing communication efficiency within defined geographic areas. These RSU clusters act as communication backbones, facilitating seamless connectivity between autonomous vehicles and the surrounding infrastructure. The clustering is based on proximity, ensuring effective communication handovers as vehicles traverse through different RSU coverage areas. Key objectives include load balancing, resource optimization, and the provision of a robust communication infrastructure for autonomous vehicles. The research delves into clustering algorithms, communication protocols, and dynamic adaptation mechanisms to address the challenges posed by the dynamic nature of vehicular environments. Applications of the proposed VANET RSU cluster model encompass traffic management, safety applications, and collaborative awareness among autonomous vehicles. The study evaluates the performance of the system through simulations, considering factors such as communication range, network congestion, and response times. By leveraging the potential of VANETs in conjunction with RSU clusters, this research contributes to the realization of a connected and intelligent transportation ecosystem. The findings pave the way for enhanced safety, efficiency, and reliability in autonomous vehicle operations within urban environments.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    VANET for Autonomous Vehicles


    Contributors:


    Publication date :

    2024-02-24


    Size :

    928508 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    VANET for emergency vehicles: Preliminary results

    Pighin, Matias / Fierens, Pablo I. | IEEE | 2015


    Modeling Vehicles Mobility for Connectivity Analysis in VANET

    Umer, Tariq / Amjad, Muhammad / Shah, Nadir et al. | Springer Verlag | 2016




    Enhanced Performance for Military Vehicles Using Clustering Algorithm in VANET

    Deepak Kumar Malviya / Prashant Shrivastav | BASE | 2018

    Free access