Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection

Autonomous UAV cruising is gaining attention dueto its flexible deployment in remote sensing, surveillance, andreconnaissance. A critical challenge in data collection with theautonomous UAV is the buffer overflows at the ground sensorsand packet loss due to lossy airborne channels. Trajectoryplannin...

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Bibliographic Details
Main Author: Kurunathan, John Harrison (author)
Other Authors: Li, Kai (author), Ni, Wei (author), Tovar, Eduardo (author), Dressler, Falko (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
UAV-aided WSN
Autonomous UAV
Cruise control
Deep reinforcement learning
Online Access:http://hdl.handle.net/10400.22/18804
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18804

Internet

http://hdl.handle.net/10400.22/18804

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