Computation Offloading Algorithms In Vehicular Edge Computing Environment: A Survey

Abstract

Vehicular Edge Computing (VEC) is a promising paradigm that approximates cloud services near vehicles with the assistance of offloading. Data and task offloading have aided vehicles to overcome their limited resources since those vehicles' applications are delay-sensitive and resource restrictions. The excessive dynamic nature of vehicular networks is the main challenge of task offloading in VEC. The constant changing of the network topology disconnects the wireless communication channels hence, putting an extra burden on exploring an optimal offloading scheme. Many studies consider the mobility issue, low latency, and resource utilization in the VEC environment. In this paper, a variety of offloading schemes deployed in the VEC environment is examined in the current state of the art, with a new taxonomy of offloading approaches proposed.