Deep Reinforcement Learning for Real-Time Trajectory Planning in UAV Network
In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and collect the sensory data. This paper focuses on trajectory planning of the UAV for aerial data collection and WPT to minimize b...
| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2020
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/16381 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/16381 |