Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles-Reference-Cited by-同舟云学术

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

Published:2022-09 Issue:3 Volume:6 Page:1468-1480
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Pliatsios Dimitrios¹^ORCID,Sarigiannidis Panagiotis¹^ORCID,Lagkas Thomas D.²^ORCID,Argyriou Vasileios³^ORCID,Boulogeorgos Alexandros-Apostolos A.¹^ORCID,Baziana Peristera⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece

2. Department of Computer Science, School of Science, International Hellenic University, Kavala, Greece

3. Department of Networks and Digital Media, Kingston University London, Kingston upon Thames, U.K.

4. Department of Computer Science and Telecommunications, University of Thessaly, Lamia, Greece

Funder

European Unions Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/7511293/9863718/09820768.pdf?arnumber=9820768

Reference55 articles.

1. Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing

2. Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing

3. Energy-Efficient Edge Computing Service Provisioning for Vehicular Networks: A Consensus ADMM Approach

4. Efficient Mobility-Aware Task Offloading for Vehicular Edge Computing Networks

5. Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme

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