Joint Optimization of Task Offloading and Resource Allocation in Heterogeneous Edge Networks

• Published in: 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS) pp. 601 - 606
• Main Authors: Mei, Zhixin, Du, Hebing, He, Pan, Dong, Aofei, Feng, Kuiyuan, Xu, Jinkun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.08.2024
• Subjects: Costs; Delays; Edge computing; Energy consumption; Intelligent transportation systems; Internet of Vehicles; Optimization; Particle swarm optimization; Resource allocation; Resource management; Simulation; Task offloading
• DOI: 10.1109/DOCS63458.2024.10704545

With the development of intelligent transportation systems (ITS), powerful vehicular applications are gaining popularity, which brings significant challenges to resource-constrained vehicles. The emergence of edge computing empowers vehicles to offload computation tasks to edge devices in the internet of vehicles (IoV), thereby alleviating the problem of constrained computing resources in vehicles. In this paper, we investigate the task offloading and resource allocation in heterogeneous edge networks (HENets). The problem of the task offloading and resource allocation is formulated to minimize the system total cost composed of the service delay and energy consumption. To address this problem, we propose a particle swarm optimization (PSO) based task offloading and resource allocation (PTORA) algorithm. Simulation results demonstrate that our proposed algorithm has better performance.