Energy-Delay Minimization of Task Migration Based on Game Theory in MEC-Assisted Vehicular Networks-Reference-Cited by-同舟云学术

Energy-Delay Minimization of Task Migration Based on Game Theory in MEC-Assisted Vehicular Networks

Published:2022-08 Issue:8 Volume:71 Page:8175-8188
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Wang Haipeng¹,Lv Tiejun¹^ORCID,Lin Zhipeng²^ORCID,Zeng Jie³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing, China

2. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9857756/09775597.pdf?arnumber=9775597

Reference46 articles.

1. Predictive Task Migration Modeling in Software Defined Vehicular Networks

2. Software-Defined Networking for RSU Clouds in Support of the Internet of Vehicles

3. A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing

4. 5G-Enabled MEC: A Distributed Traffic Steering for Seamless Service Migration of Internet of Vehicles

5. Particle Swarm Based Service Migration Scheme in the Edge Computing Environment

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