Research Article
IoV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration
@INPROCEEDINGS{10.1007/978-3-031-84426-3_4, author={Leonel D. C. Alvarenga and Pedro Sousa and Ant\^{o}nio Costa}, title={IoV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration}, proceedings={Internet of Everything. Third EAI International Conference, IoECon 2024, Guimar\"{a}es, Portugal, September 26--27, 2024, Proceedings}, proceedings_a={IOECON}, year={2025}, month={3}, keywords={Vehicular Fog Networks Software-Defined Vehicular Fog Networks Internet of Vehicles Internet of Everything for Intelligent Transportation}, doi={10.1007/978-3-031-84426-3_4} }- Leonel D. C. Alvarenga
Pedro Sousa
António Costa
Year: 2025
IoV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration
IOECON
Springer
DOI: 10.1007/978-3-031-84426-3_4
Abstract
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.
