Joint Task Offloading, Resource Allocation and Data Caching in MEC-assisted Vehicular Network
Wenfeng Dai · 2023
In the Internet of Vehicles, a variety of vehicle applications provide convenience for people to drive and travel. Among the tasks generated by these applications, some are computing-intensive and delay-sensitive, and need data caching to complete the task. Against this background, our paper considers a MEC-assisted vehicular network where vehicles need to complete the tasks during driving. Through jointly optimizing the offloading decision, MEC server computing resource allocation and data caching decision, we propose an optimization problem to minimize the total cost of vehicles, which can improve the quality of service (QOS). Because the optimization problem is a Mixed-Integer Non-Linear Programming (MINLP) problem, we divide it into two subproblems. We propose an algorithm JOMAD to solve the MINLP problem, mainly using discrete Binary Particle Swarm Optimization (BPSO) to solve two subproblems respectively. Simulation results demonstrate that the proposed scheme achieves less cost than other benchmarks.