Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme

TL;DR

This paper proposes an energy-efficient task offloading strategy for vehicular edge computing that uses a one-by-one scheduling scheme to minimize vehicle energy consumption while optimizing offloading parameters.

Contribution

It introduces a novel one-by-one scheduling mechanism for VEC that jointly optimizes offloading, scheduling, and resource allocation to improve energy efficiency.

Findings

The proposed scheme reduces total energy consumption compared to benchmarks.

Joint optimization of offloading ratio and scheduling enhances system performance.

Numerical results validate the effectiveness of the approach.

Abstract

With the advent of ever-growing vehicular applications, vehicular edge computing (VEC) has been a promising solution to augment the computing capacity of future smart vehicles. The ultimate challenge to fulfill the quality of service (QoS) is increasingly prominent with constrained computing and communication resources of vehicles. In this paper, we propose an energy-efficient task offloading strategy for VEC system with one-by-one scheduling mechanism, where only one vehicle wakes up at a time to offload with a road side unit (RSU). The goal of system is to minimize the total energy consumption of vehicles by jointly optimizing user scheduling, offloading ratio and bit allocation within a given mission time. To this end, the non-convex and mixed-integer optimization problem is formulated and solved by adopting Lagrange dual problem, whose superior performances are verified via numerical results, as compared to other benchmark schemes.