Joint task assignment and resource allocation in VFC based on mobility prediction information

Vehicular Fog Computing (VFC) is a novel architecture that utilizes end-user clients or near-user edge devices to reduce the processing and transmission time of vehicular tasks. However, the high mobility of vehicles in VFC presents a challenge in coordinating vehicles and managing multi-dimensional resources. In this paper, we investigate the joint task assignment and resource allocation optimization problem by incorporating mobility prediction information. We propose two schemes that consider execution speed and accuracy. The first scheme decomposes the original problem into two sub-problems: subtask assignment and bandwidth resource allocation, solved by matching and convex optimization methods. The second scheme uses an iterative optimization process based on 0–1 integer linear programming. Simulation results based on real-world mobility datasets demonstrate the effectiveness and complementarity of the proposed schemes. © 2023 Elsevier B.V.