Joint Task Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes-Reference-Cited by-同舟云学术

Joint Task Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes

Published:2023-04 Issue:4 Volume:24 Page:4277-4292
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Fan Wenhao¹^ORCID,Su Yi¹^ORCID,Liu Jie¹^ORCID,Li Shenmeng¹,Huang Wei²^ORCID,Wu Fan¹^ORCID,Liu Yuan’an¹^ORCID

Affiliation:

1. School of Electronic Engineering and the Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing, China

2. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

State Key Laboratory of Information Photonics and Optical Communications (Beijing University of Posts and Telecommunications), China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10086684/10007714.pdf?arnumber=10007714

Reference38 articles.

1. Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks

2. Analytical Model for Connectivity in Vehicular Ad Hoc Networks

3. Intelligent Task Offloading for Heterogeneous V2X Communications

4. Empirical study of traffic velocity distribution and its effect on VANETs connectivity

5. A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks

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