Offloading Utility Optimization in Parked Vehicular Edge Computing

Parked vehicular edge computing (PVEC) has recently been introduced as a new paradigm that makes use of parked vehicles to support edge servers in computation offloading. However, most existing research does not consider the local computing capacity of requesting devices and/or the resource cost for offloading tasks. In this paper, we propose a partial computation offloading scheme that allows mobile devices (MDs) to utilize both local and remote resources for parallel task execution in PVEC. The goal is to maximize the total offloading utility of MDs, which is defined as the difference between the benefit of latency reduction and the cost of using computing and networking resources. Simulation results show that the proposed scheme can improve the total offloading utility compared to conventional schemes.