Hierarchical Task Offloading for Vehicular Fog Computing Based on Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Hierarchical Task Offloading for Vehicular Fog Computing Based on Multi-Agent Deep Reinforcement Learning

Published:2023 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Hou Yukai¹^ORCID,Wei Zhiwei¹^ORCID,Zhang Rongqing¹^ORCID,Cheng Xiang²^ORCID,Yang Liuqing³^ORCID

Affiliation:

1. School of Software Engineering, Tongji University, Shanghai, China

2. School of Electronics, Peking University, Beijing, China

3. Internet of Things Thrust and Intelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/10225697.pdf?arnumber=10225697

Cited by 9 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. TRUST-ME: Trust-Based Resource Allocation and Server Selection in Multi-Access Edge Computing;Future Internet;2024-08-04

2. Autonomous Intersection Management with Heterogeneous Vehicles: A Multi-Agent Reinforcement Learning Approach;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging Trends;Wireless Personal Communications;2024-06

4. Toward Secure and Trustworthy Vehicular Fog Computing: A Survey;IEEE Access;2024

5. Real-Time Traffic Management Using Feature Selection and Deep Learning in Vehicular Fog Computing;Lecture Notes in Networks and Systems;2024

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