The increasing demand for low-latency, computation-intensive applications in connected vehicles requires efficient and scalable solutions to orchestrate services. To address these needs, Vehicular Fog Network (VFN) is a promising model for providing computational resources and aiding decision-making closer to vehicles. Recent studies indicate that the Software-Defined Networking (SDN) paradigm can improve VFN by optimizing resource and service management. The combination of these two technologies leads to the SoftwareDefined Vehicular Fog Networks (SDVFN) concept. In this study, we propose an SDVFN simulation architecture which consists of a vehicular ad hoc network connected to a Fog Network on the infrastructure side. The proposed architecture is suitable for the orchestration of services and has the capability to react to vehicular mobility, reallocating the execution tasks of microservices in order to maintain data traffic efficiency in the Fog Network and also reduce latency in service communication. It also leverages SDN capabilities to anticipate OpenFlow forwarding rules within SDVFN to obtain seamless vehicle handovers between Road-Side Units (RSUs), implementing dynamic datapath adaptability.


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    Titel :

    Mobility Responsiveness in Software-Defined Vehicular Fog Networks Simulation


    Beteiligte:


    Erscheinungsdatum :

    22.07.2025


    Format / Umfang :

    1293825 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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