Dynamic Task Offloading in Distributed VEC Networks: An Exploration and Exploitation Assisted Contract-Theoretic Approach

doi:10.1109/TVT.2023.3332956

	Dynamic Task Offloading in Distributed VEC Networks: An Exploration and Exploitation Assisted Contract-Theoretic Approach
	Shen, Rujing 1,2; Gao, Mingjin 1; Li, Wei 3; Li, Yonghui 4
	2024-04-01
发表期刊	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN	0018-9545
卷号	73 期号:4 页码:5717-5729
摘要	In vehicular edge computing (VEC) networks, task offloading is a prospective approach to alleviate the computing burden of vehicles. Most works studied task offloading in centralized scenarios, where centralized infrastructures host the offloading and force vehicles into providing required private information. However, considering the high costs of infrastructure deployment, distributed scenarios without infrastructures are more practical. This paper focuses on a distributed VEC network, where a task vehicle (TaV) offloads tasks to surrounding vehicles (SuVs) with energy harvesting capabilities. In this context, SuVs are self-interested, and how to motivate self-interested vehicles to process offloaded tasks and provide the required information is challenging. To tackle these issues, an exploration and exploitation assisted contract-theoretic (EEACT) scheme is developed, where each SuV is recruited to participate in task offloading, and to accept the contract item designed for its type. The SuV type is related with the SuV's private information, and is partially monotonic. As a result, traditional simplification methods of incentive compatible (IC) and individual rational (IR) constraints in contract theory are not applicable. To address this problem, novel simplification methods are proposed and proved theoretically. Based on the contract design, the TaV determines the task offloading decisions by minimizing the processing cost of tasks, including the computation delay and the energy consumption. A low-complexity algorithm based on SuV types is proposed to obtain the approximately optimal offloading strategy. Numerical results demonstrate the superiority of the proposed scheme over the baseline schemes in terms of optimality.
关键词	Distributed vehicular edge computing contract based task offloading energy harvesting exploration and exploitation
DOI	10.1109/TVT.2023.3332956
收录类别	SCI
语种	英语
资助项目	Youth Innovation Promotion Association CAS
WOS研究方向	Engineering ; Telecommunications ; Transportation
WOS类目	Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号	WOS:001205788900039
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38979
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Gao, Mingjin
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 3.China Univ Petr, Beijing 102249, Peoples R China 4.Univ Sydney, Sydney, NSW 2006, Australia
推荐引用方式 GB/T 7714	Shen, Rujing,Gao, Mingjin,Li, Wei,et al. Dynamic Task Offloading in Distributed VEC Networks: An Exploration and Exploitation Assisted Contract-Theoretic Approach[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2024,73(4):5717-5729.
APA	Shen, Rujing,Gao, Mingjin,Li, Wei,&Li, Yonghui.(2024).Dynamic Task Offloading in Distributed VEC Networks: An Exploration and Exploitation Assisted Contract-Theoretic Approach.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,73(4),5717-5729.
MLA	Shen, Rujing,et al."Dynamic Task Offloading in Distributed VEC Networks: An Exploration and Exploitation Assisted Contract-Theoretic Approach".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 73.4(2024):5717-5729.