A Mobility Aware Task Offloading Scheme For Vehicle Edge Computing

Abstract

The mobility of the vehicle poses new challenges to the unloading decision. In view of this situation, this paper proposes a unloading scheme of vehicle edge computing (VEC) based on mobile sensing, so that vehicles with computing ability can provide VEC services in the vehicle fog network, so as to solve the problem of high-speed mobility of vehicles. Firstly, we divide the running time of each vehicle into several same time slots. In each time slot, we believe that the distance between the vehicle and the base station is constant. RSU distributes a task to multiple vehicles according to the ratio, and optimizes the energy consumption of the system by optimizing the task unloading ratio. Then a Lagrange and its dual method based on convex algorithm is used to solve this problem, and a low complexity algorithm is proposed to optimize the task unloading ratio, and the Lagrange multiplier is iterative until it converges. Finally, the simulation results verify the efficient performance of the proposed scheme. Compared with other algorithms, the proposed algorithm not only improves the utilization rate of vehicle computing resources, but also minimizes the overall energy consumption of the system.