With the rapid development of Internet of Things and communication technologies, the connected vehicle technology with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication is seen as the most promising solution for reducing traffic accidents and alleviating traffic congestion. Roadside Units (RSUs) play a crucial role in enabling V2I communication, as they can gather and broadcast traffic event information in the road network. Implementing a well-thought-out RSU strategy can significantly improve the stability and efficiency of traffic event information transmission in the road network. However, there is a lack of effective strategies for RSU deployment in stochastic scenarios. The presence of unpredictable factors like equipment failures and network attacks may disrupt the normal functioning of the RSUs. To guide the deployment of roadside facilities, we analyze the transmission time of traffic events in the road network and construct a multi-objective RSU deployment model considering the possibility of RSU failures. This model aims to maximize the number of connected vehicles served and minimize the expected transmission time of events. Through fuzzy programming theory and different decision preferences, we transform the two objectives into a single objective function. A random-key genetic algorithm (RKGA) is designed to solve the transformed model. Moreover, several simulation examples are presented to verify the feasibility and effectiveness of the proposed model and algorithm. The results indicate that decentralized deployment is preferred for low RSU failure probabilities, while centralized deployment is preferred for high failure probabilities.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimizing Roadside Unit Deployment in VANETs: A Study on Consideration of Failure


    Beteiligte:
    Liang, Bingjie (Autor:in) / Wang, Fujun (Autor:in) / Ran, Bin (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.09.2024


    Format / Umfang :

    9306870 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Roadside Units Deployment in Hybrid VANETs with Synchronous Communication

    Silva, Tais R. / Correia, Thiago da S. / Sarubbi, Joao F. M. et al. | IEEE | 2018


    Effect of Roadside APs in VANETs: A Comparison Study

    Ikeda, Makoto / Honda, Taiki / Spaho, Evjola et al. | IEEE | 2013


    Roadside infrastructure deployment

    PANDEY GAURAV / REMILLARD JEFFREY THOMAS / PARCHAMI MOSTAFA et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    ROADSIDE INFRASTRUCTURE DEPLOYMENT

    PANDEY GAURAV / REMILLARD JEFFREY THOMAS / PARCHAMI MOSTAFA et al. | Europäisches Patentamt | 2022

    Freier Zugriff