IoV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration

IoV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration

연구 분야: Networking

학회: International Conference on Internet of Everything

Internet of Everything (IoE) extends Internet of Things (IoT) by going beyond device connections and creating a novel interconnected society with innovative business models supported by intelligent applications that integrate people, things and data. As a specific case of IoT, Internet of Vehicle (IoV) paradigm is directly influenced by IoE-based applications, bringing even more intelligence to vehicular networks. In IoV context, many applications require lower latency, making Fog Computing a promising model to orchestrate cloud-based IoE services consumed by vehicle nodes. Recent research suggests that the Software-Defined Networking (SDN) paradigm can optimize Fog Computing in resource and service management, leading to the concept of Software-Defined Vehicular Fog Computing Networks (SDVFN). However, testing novel research solutions in real SDVFN environments is a challenge due to the cost of physically build these environments or the disruptive model they represent. In addiction, the lack of a comprehensive simulation tool for the SDVFNs scenarios represents a barrier to the advancement of research in this domain. This article introduces a simulation framework designed to facilitate the prototyping of Intelligent Transportation System Applications within a SDVFN. The framework enables the investigation of various fog node selection strategies and the implementation of adaptable datapaths using the SDN paradigm. Furthermore, it contributes to the evaluation and implementation of efficient computing services orchestration in SDVFN environments. Among the key features of the environment are its handling of vehicular mobility through service-oriented packet routing and its capability to anticipate OpenFlow forwarding rules by predicting handovers.