Deep Reinforcement Learning Based Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Computation Offloading and Trajectory Planning for Multi-UAV Cooperative Target Search

Published:2023-02 Issue:2 Volume:41 Page:504-520
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Luo Quyuan¹^ORCID,Luan Tom H.²^ORCID,Shi Weisong³^ORCID,Fan Pingzhi¹

Affiliation:

1. School of Information Science and Technology, and the Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China

2. School of Cyber Engineering, Xidian University, Xi’an, China

3. Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province of China

Key Research and Development Program of Sichuan

Fundamental Research Funds for the Central Universities

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/10019602/09989360.pdf?arnumber=9989360

Reference57 articles.

1. Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning

2. Stochastic Computation Offloading and Trajectory Scheduling for UAV-Assisted Mobile Edge Computing

3. Task Offloading in UAV-Aided Edge Computing: Bit Allocation and Trajectory Optimization

4. Task Offloading Optimization for UAV-Assisted Fog-Enabled Internet of Things Networks

5. Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks

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