Affiliation:
1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
Abstract
In the Internet of Vehicles scenario, the in-vehicle terminal cannot meet the requirements of computing tasks in terms of delay and energy consumption; the introduction of cloud computing and MEC is an effective way to solve the above problem. The in-vehicle terminal requires a high task processing delay, and due to the high delay of cloud computing to upload computing tasks to the cloud, the MEC server has limited computing resources, which will increase the task processing delay when there are more tasks. To solve the above problems, a vehicle computing network based on cloud-edge-end collaborative computing is proposed, in which cloud servers, edge servers, service vehicles, and task vehicles themselves can provide computing services. A model of the cloud-edge-end collaborative computing system for the Internet of Vehicles is constructed, and a computational offloading strategy problem is given. Then, a computational offloading strategy based on the M-TSA algorithm and combined with task prioritization and computational offloading node prediction is proposed. Finally, comparative experiments are conducted under task instances simulating real road vehicle conditions to demonstrate the superiority of our network, where our offloading strategy significantly improves the utility of task offloading and reduces offloading delay and energy consumption.
Funder
“Yunnan Xingdian Talents Support Plan” project of Yunnan and Key Projects of Yunnan Basic Research Plan
Yunnan Province Basic Research Program Key Funding Project
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference28 articles.
1. Mobile-edge computing for vehicular networks: A Promising Network Paradigm with Predictive Off-Loading;Zhang;IEEE Veh. Technol. Mag.,2017
2. Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things;Liu;IEEE Internet Things J.,2020
3. V2V-CoVAD: A vehicle-to-vehicle cooperative video alert dissemination mechanism for Internet of Vehicles in a highway environment;Wang;Veh. Commun.,2022
4. Computation offloading for mobile edge computing enabled vehicular networks;Wang;IEEE Access,2019
5. de Souza, A.B., Rego, P.A.L., and de Souza, J.N. (2019, January 4–6). Exploring Computation Offloading in Vehicular Clouds. Proceedings of the 8th IEEE International Conference on Cloud Networking (CloudNet), Coimbra, Portugal.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献