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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Detalhes bibliográficos
Autor principal: Kurunathan, John Harrison (author)
Outros Autores: Li, Kai (author), Ni, Wei (author), Tovar, Eduardo (author), Dressler, Falko (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2021
Assuntos:
UAV-aided WSN
Autonomous UAV
Cruise control
Deep reinforcement learning
Texto completo:http://hdl.handle.net/10400.22/18804
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18804

Texto Completo

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

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