PTCC: A Privacy-Preserving and Trajectory Clustering-Based Approach for Cooperative Caching Optimization in Vehicular Networks-Reference-Cited by-同舟云学术

PTCC: A Privacy-Preserving and Trajectory Clustering-Based Approach for Cooperative Caching Optimization in Vehicular Networks

Published:2024-07 Issue:4 Volume:9 Page:615-630
ISSN:2377-3782
Container-title:IEEE Transactions on Sustainable Computing
language:
Short-container-title:IEEE Trans. Sustain. Comput.

Author:

Cao Tengfei¹^ORCID,Zhang Zizhen¹,Wang Xiaoying¹,Xiao Han²^ORCID,Xu Changqiao²^ORCID

Affiliation:

1. Intelligent Computing and Application Laboratory, Department of Computer Technology and Applications, Qinghai University, Xining, Qinghai, China

2. School of Computer Science (National Pilot Software Engineering School), State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Qinghai Province

Open Foundation of State key Laboratory of Networking and Switching Technology

Beijing University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7274860/10631808/10381759.pdf?arnumber=10381759

Reference50 articles.

1. An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios

2. Machine Learning-Based Road Safety Prediction Strategies for Internet of Vehicles (IoV) Enabled Vehicles: A Systematic Literature Review

3. Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

4. A Survey of Authentication Techniques in Vehicular Ad-Hoc Networks

5. Resource Allocation of Video Streaming Over Vehicular Networks: A Survey, Some Research Issues and Challenges