Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

Published:2023-05 Issue:5 Volume:24 Page:5555-5569
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ju Ying¹^ORCID,Chen Yuchao¹,Cao Zhiwei¹,Liu Lei¹^ORCID,Pei Qingqi¹^ORCID,Xiao Ming²^ORCID,Ota Kaoru³^ORCID,Dong Mianxiong³^ORCID,Leung Victor C. M.⁴^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China

2. Department of Information Science and Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden

3. Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan

4. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Research and Development Programs of Shaanxi

FORMAS Project titled Intelligent Energy Management in Smart Community with Distributed Machine Learning

Swedish Research Council Project titled Coding for Large-Scale Distributed Machine Learning

JSPS KAKENHI

Leading Initiative for Excellent Young Researchers (LEADER), MEXT, Japan

JST, PRESTO, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10121021/10041957.pdf?arnumber=10041957

Reference47 articles.

1. Secure and Privacy Preserving Protocol for Cloud-Based Vehicular DTNs

2. Resource Allocation for D2D-Enabled Vehicular Communications

3. A Security Credential Management System for V2X Communications

4. Secure Transmissions in Millimeter Wave Systems

5. Physical Layer Security Assisted Computation Offloading in Intelligently Connected Vehicle Networks

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions;Mechanical Systems and Signal Processing;2024-04

2. Mean-field reinforcement learning for decentralized task offloading in vehicular edge computing;Journal of Systems Architecture;2024-01

3. Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach;IEEE Access;2024

4. Beetle colony optimization algorithm‐based node clustering scheme for efficient data dissemination in vehicular ad hoc networks;International Journal of Communication Systems;2023-12-21

5. Large-Scale Multicast Group Secure Transmission Scheme Based on Multi-Carrier FDA;Sensors;2023-11-23