Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks
文献类型：期刊论文
| 作者 | Li, Chao3 ; Liu, Fagui2,3; Wang, Bin2; Chen, C. L. Philip1,3; Tang, Xuhao3; Jiang, Jun3; Liu, Jie3
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 8期号:3页码:2400-2414 |
| 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) |
| ISSN号 | 2379-8858 |
| DOI | 10.1109/TIV.2022.3224057 |
| 通讯作者 | Liu, Fagui(fgliu@scut.edu.cn) ; Wang, Bin(wangb02@pcl.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | EDGE ; VEHICLES |
| 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] |
| WOS研究方向 | Computer Science ; Engineering ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:000981348100034 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53335]  |
| 专题 | 离退休人员 |
| 通讯作者 | Liu, Fagui; Wang, Bin |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China 2.Peng Cheng Lab, Cyberspace Secur Res Ctr, Shenzhen 518066, Peoples R China 3.South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, 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. |
入库方式： OAI收割
来源：自动化研究所
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