Joint Communication Scheduling and Velocity Control in Multi-UAV-Assisted Sensor Networks: A Deep Reinforcement Learning Approach

Recently, Unmanned Aerial Vehicle (UAV) swarm has been increasingly studied to collect data from ground sensors in remote and hostile areas. A key challenge is the joint design of the velocities and data collection schedules of the UAVs, as inadequate velocities and schedules would lead to failed tr...

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Bibliographic Details
Main Author: Emami, Yousef (author)
Other Authors: Wei, Bo (author), Li, Kai (author), Ni, Wei (author), Tovar, Eduardo (author)
Format: article
Language:eng
Published: 2021
Subjects:
Unmanned aerial vehicles
Communication scheduling
Velocity control
Multi-UAV Deep Reinforcement Learning
Deep Q-Network
Online Access:http://hdl.handle.net/10400.22/18706
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18706

Internet

http://hdl.handle.net/10400.22/18706

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