Vehicular Fog Computing

Vehicular fog computing (VFC) leverages the computational resources of moving vehicles to process data closer to its source, reducing latency and bandwidth demands for applications like autonomous driving and disaster response. Current research emphasizes decentralized resource allocation strategies, often employing deep reinforcement learning or game-theoretic models to optimize task offloading and resource utilization among vehicles and clients in dynamic environments. This approach promises to improve efficiency and robustness in various applications by intelligently distributing computational burdens and adapting to fluctuating network conditions.