Weighted Energy-Efficiency Maximization for a UAV-Assisted Multiplatoon Mobile-Edge Computing System

With the rapid development of mobile computing, mobile-edge computing (MEC) has increasingly become an essential means to meet power requirements intelligent networked vehicles. However, users with high mobility and coupled dynamics are rarely considered in edge paradigms. In this article, we studied a UAV-assisted MEC system multiplatoon Our article aims maximize system’s weighted global energy efficiency, which can flexibly adjust each vehicle’s consumption according user preferences needs. particular, design controller for platooning vehicles based on 2-D path-following model Frenet frames, characteristics air-to-ground communications onboard computation. Furthermore, due nonconvexity objective function constraints optimization problem, propose algorithm sequential quadratic programming (SQP) method. The simulation results show that proposed method significantly surpasses conventional schemes.