Energy-Efficient Task Offloading of Edge-Aided Maritime UAV Systems-Reference-Cited by-同舟云学术

Energy-Efficient Task Offloading of Edge-Aided Maritime UAV Systems

Published:2023-01 Issue:1 Volume:72 Page:1116-1126
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Li Huanran¹,Wu Shaohua¹^ORCID,Jiao Jian¹^ORCID,Lin Xiao-Hui²^ORCID,Zhang Ning³^ORCID,Zhang Qinyu¹^ORCID

Affiliation:

1. Department of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen, Guangdong, China

2. Guangdong Provincial Engineering Center for Ubiquitous Computing and Intelligent Networking, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

3. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shenzhen Municipal Science and Technology Plan

Natural Science Foundation of Shenzhen City

Basic and Applied Basic Research Foundation of Guangdong Province

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/ielx7/25/10017140/09881915.pdf?arnumber=9881915

Reference34 articles.

1. Non-Orthogonal Multiple Access Assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach

2. NOMA-Assisted Multi-Access Mobile Edge Computing: A Joint Optimization of Computation Offloading and Time Allocation

3. Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs

4. Marine Communications Channel Modeling Using the Finite-Difference Time Domain Method

5. Genetic algorithms

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