Secrecy Performance Intelligent Prediction for Mobile Vehicular Networks: An DI-CNN Approach-Reference-Cited by-同舟云学术

Secrecy Performance Intelligent Prediction for Mobile Vehicular Networks: An DI-CNN Approach

Published:2024-07 Issue:7 Volume:25 Page:7363-7373
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Xu Lingwei¹^ORCID,Tang Huihui²,Li Hui¹^ORCID,Li Xingwang³^ORCID,Gulliver Thomas Aaron⁴^ORCID,Le Khoa N.⁵^ORCID

Affiliation:

1. Department of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China

2. Guangxi Key Laboratory of Digital Infrastructure, Guangxi Information Center, Nanning, China

3. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China

4. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

5. School of Computing, Engineering and Mathematics, Western Sydney University, Kingswood, NSW, Australia

Funder

National Natural Science Foundation of China

Open Foundation of Guangxi Key Laboratory of Digital Infrastructure

Open Foundation of Guangxi Key Laboratory of Automobile Components and Vehicle Technology, Guangxi University of Science and Technology

Open Project Program of the State Key Laboratory of Computer Aided Design and Computer Graphics (CAD&CG), Zhejiang University

Open Project Program of Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control, Fujian Special Equipment Inspection and Research Institute, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10582787/10433892.pdf?arnumber=10433892

Reference45 articles.

1. Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles

2. Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles

3. Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV

4. Integrated Vehicle-Following Control for Four-Wheel-Independent-Drive Electric Vehicles Against Non-Ideal V2X Communication

5. An Energy-Efficient Proactive Handover Scheme for Vehicular Networks Based on Passive RSU Detection