A Parallel Intelligence-Driven Resource Scheduling Scheme for Digital Twins-Based Intelligent Vehicular Systems-Reference-Cited by-同舟云学术

A Parallel Intelligence-Driven Resource Scheduling Scheme for Digital Twins-Based Intelligent Vehicular Systems

Published:2023-04 Issue:4 Volume:8 Page:2770-2785
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Yang Junchao¹^ORCID,Lin Feng²,Chakraborty Chinmay³^ORCID,Yu Keping⁴^ORCID,Guo Zhiwei¹^ORCID,Nguyen Anh-Tu⁵^ORCID,Rodrigues Joel J. P. C.⁶^ORCID

Affiliation:

1. Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology, National Research Base of Intelligent Manufacturing Services, Chongqing Technology and Business University, Chongqing, China

2. School of automation, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Birla Institute of Technology, Mesra, Jharkhand, India

4. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

5. INSA Hauts-de-France, Université Polytechnique Hauts-de-France, Valenciennes, France

6. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

Funder

Chongqing Municipal Projects

National Natural Science Foundation of China

Chongqing Technology and Business University Projects

FCT/MCTES through national funds and when applicable co-funded EU funds

Brazilian National Council for Scientific and Technological Development - CNPq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/10130133/10019579.pdf?arnumber=10019579

Reference33 articles.

1. Federated Offloading Scheme to Minimize Latency in MEC-Enabled Vehicular Networks

2. Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution

3. Integrating Terrestrial and Satellite Multibeam Systems Toward 6G: Techniques and Challenges for Interference Mitigation

4. Bl-IEA: A Bit-Level Image Encryption Algorithm for Cognitive Services in Intelligent Transportation Systems

5. Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment

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