The SDN For Fog Computing In VANETs

The rise of mobile applications in the Internet of Things (IoT) demands substantial computational power, which mobile devices often lack due to energy and processing limitations. Vehicular fog computing offers a solution by utilizing parked vehicles as computational nodes, bringing resources closer to users. The main objective of this study is to explore the use of electric vehicles as computational nodes in a fog computing architecture, allowing mobile users to offload tasks to these idle vehicles. This approach seeks to reduce latency, lower costs, and enhance resource efficiency compared to conventional cloud solutions. To address the challenges of resource management in this dynamic environment, we propose a method that uses a Software-Defined Networking (SDN) controller to dynamically manage vehicular fog resources. The approach is validated through simulations in Matlab Simulink, with results showing that using parked vehicles as fog nodes effectively reduces latency and optimizes resource allocation. The SDN-based system provides superior computing services compared to local processing, improving overall system performance.