Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks

doi:10.1109/TIV.2022.3224057

CASIA OpenIR > 离退休人员

	Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks
	Li, Chao1 ; Liu, Fagui 1,2; Wang, Bin2 ; Chen, C. L. Philip 1,3; Tang, Xuhao 1; Jiang, Jun1 ; Liu, Jie1
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
ISSN	2379-8858
	2023-03-01
卷号	8 期号:3 页码:2400-2414
通讯作者	Liu, Fagui(fgliu@scut.edu.cn) ; Wang, Bin(wangb02@pcl.ac.cn)
摘要	In this paper, we study a tracking service vehicular edge computing (VEC) network that provides computation offloading service for Intelligent vehicles, where computational tasks with different urgency and dependency are required to be completed efficiently within strict time constraints. We consider the actual scenario where the environmental parameters fluctuate randomly and their distributions are unknown, thus, a long-term scheduling policy optimization problem needs to be solved. For this motivation, we first define a queueing criterion to sort the subtasks into a scheduling queue, and then model a specific Markov decision process (MDP) according to the scheduling queue. Furthermore, we propose our vehicular task scheduling policy optimizing (VTSPO) algorithm based on the most advanced policy-based deep reinforcement learning (DRL). The experimental results compared with known value-based DRL algorithms verify the advantages of the proposed VTSPO algorithm.
关键词	Task analysis Intelligent vehicles Optimization Processor scheduling Vehicle dynamics Heuristic algorithms Costs Deep reinforcement learning (DRL) scheduling policy tracking service vehicular edge computing (VEC)
DOI	10.1109/TIV.2022.3224057
关键词[WOS]	EDGE ; VEHICLES
收录类别	SCI
语种	英语
资助项目	Guangdong Major Project of Basic and Applied Basic Research[2019B030302002] ; Science and Technology Major Project of Guangzhou[202007030006] ; Major Key Project of PCL[PCL2021A09] ; Science and Technology Project of Guangdong Province[2021B1111600001] ; Engineering and Technology Research Center of Guangdong Province for Logistics Supply Chain and Internet of Things[GDDST[2016]176]
项目资助者	Guangdong Major Project of Basic and Applied Basic Research ; Science and Technology Major Project of Guangzhou ; Major Key Project of PCL ; Science and Technology Project of Guangdong Province ; Engineering and Technology Research Center of Guangdong Province for Logistics Supply Chain and Internet of Things
WOS研究方向	Computer Science ; Engineering ; Transportation
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000981348100034
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53336
专题	离退休人员
通讯作者	Liu, Fagui; Wang, Bin
作者单位	1.South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R China 2.Peng Cheng Lab, Cyberspace Secur Res Ctr, Shenzhen 518066, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Li, Chao,Liu, Fagui,Wang, Bin,et al. Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(3):2400-2414.
APA	Li, Chao.,Liu, Fagui.,Wang, Bin.,Chen, C. L. Philip.,Tang, Xuhao.,...&Liu, Jie.(2023).Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(3),2400-2414.
MLA	Li, Chao,et al."Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.3(2023):2400-2414.