Joint task offloading and resource allocation in vehicle-assisted multi-access edge computing

doi:10.1016/j.comcom.2021.06.014

CORC > 兰州理工大学 > 兰州理工大学 > 研究生院

	Joint task offloading and resource allocation in vehicle-assisted multi-access edge computing
	Xue, Jianbin; Hu, Qingchun; An, Yaning; Wang, Lu
刊名	COMPUTER COMMUNICATIONS
	2021-09-01
卷号	177 页码:77-85
关键词	Multi-access edge computing Internet of vehicles Resource allocation Dynamic incentives Stackelberg game
ISSN号	0140-3664
DOI	10.1016/j.comcom.2021.06.014
英文摘要	Multi-access Edge Computing (MEC) has significant advantages in improving resource efficiency of Internet of Things (IoT) and 5G networks, however its limited resources cannot meet the demand of data communication and computation capability during off-peak time. Incentivizing intelligent vehicles with idle computation resources as vehicle edge nodes (VENs) to provide computation offloading for nearby user equipments (UEs) is an appealing idea. Thus, we propose a vehicle-assisted MEC (VMEC) paradigm, where tasks can be offloaded to MEC server and VENs. In this paper, we first establish a differentiated pricing model based on different states of resources and a dynamic incentive model according to the demands of UEs. Then, we formulate a Stackelberg game between UEs and MEC service provider (MEC SP) to obtain the optimal offloading strategy and pricing scheme. A gradient-based resource allocation iteration algorithm (GRAIA) is designed for the Nash equilibrium solution. Finally, considering the matching between UEs and vehicles, we present a reverse auction-based task scheduling algorithm (RATSA) to choose VENs. The simulation results demonstrate that the proposed scheme can achieve significant performance improvement and is superior to the existing schemes in improving system utility.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000696787600007
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148658]
专题	研究生院
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Xue, Jianbin,Hu, Qingchun,An, Yaning,et al. Joint task offloading and resource allocation in vehicle-assisted multi-access edge computing[J]. COMPUTER COMMUNICATIONS,2021,177:77-85.
APA	Xue, Jianbin,Hu, Qingchun,An, Yaning,&Wang, Lu.(2021).Joint task offloading and resource allocation in vehicle-assisted multi-access edge computing.COMPUTER COMMUNICATIONS,177,77-85.
MLA	Xue, Jianbin,et al."Joint task offloading and resource allocation in vehicle-assisted multi-access edge computing".COMPUTER COMMUNICATIONS 177(2021):77-85.