Computing task offloading based on multi-hop V2V optimization algorithm research

Jiaxin Wu; Weizhe Chen; Shunzhi Zhu; Yang Liu

doi:10.1117/12.2627837

14 March 2022 Computing task offloading based on multi-hop V2V optimization algorithm research

Jiaxin Wu, Weizhe Chen, Shunzhi Zhu, Yang Liu

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 1216512 (2022) https://doi.org/10.1117/12.2627837
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

In today’s era when the original data is huge, useful information can only be extracted from the data through calculations and corresponding processing. Nowadays, the computing power of wireless access points, laptops, and mobile phones is comparable to that of computers more than a decade ago. However, most of the time, these computing resources are often idle, which greatly causes a waste of resources. In the Internet of Vehicles scenario, this problem has always been the focus of attention by scholars. The V2V (Vehicle to Vehicle) technology has solved this problem to a certain extent. This article considers the link failure time LET (Link Expiration Time) and the limit of the task allowable delay. Most of the equipment on the road uses external power supply and user equipment is powered by energy. If the transmission of the task cannot be completed within the effective time of the link, it will cause more energy consumption. This article aims at link failure time and task allowable delay Under the limitation of V2V multi-hop task, the total energy loss in the unloading process of the V2V multi-hop task is minimized.

Citation Download Citation

Jiaxin Wu, Weizhe Chen, Shunzhi Zhu, and Yang Liu "Computing task offloading based on multi-hop V2V optimization algorithm research", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 1216512 (14 March 2022); https://doi.org/10.1117/12.2627837

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