Graph Attention Network–Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking-Reference-Cited by-同舟云学术

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Graph Attention Network–Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking

Published:2024-07 Issue:7 Volume:20 Page:9825-9836
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Sun Wenjing¹^ORCID,Zou Yuan¹,Guan Nan²^ORCID,Zhang Xudong¹^ORCID,Du Guodong¹^ORCID,Wen Ya¹

Affiliation:

1. National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, and Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing, China

2. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

Funder

National Key Research and Development Program of China

High-end Foreign Experts Recruitment Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10582275/10509567.pdf?arnumber=10509567

Reference31 articles.

1. E/E Architecture Synthesis: Challenges and Technologies

2. Requirements-Driven Automotive Electrical/Electronic Architecture: A Survey and Prospective Trends

3. Making the Case for Centralized Automotive E/E Architectures

4. A Survey on In-Vehicle Time-Sensitive Networking

5. Timely Survey of Time-Sensitive Networking: Past and Future Directions

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