Deep Reinforcement Learning for Joint Trajectory Planning, Transmission Scheduling, and Access Control in UAV-Assisted Wireless Sensor Networks

Unmanned aerial vehicles (UAVs) can be used to relay sensing information and computational workloads from ground users (GUs) to a remote base station (RBS) for further processing. In this paper, we employ multiple UAVs to assist with the collection of sensing information in a terrestrial wireless se...

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Detalles Bibliográficos
Autores principales: Luo, Xiaoling, Chen, Che, Zeng, Chunnian, Li, Chengtao, Xu, Jing, Gong, Shimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221232/
https://www.ncbi.nlm.nih.gov/pubmed/37430608
http://dx.doi.org/10.3390/s23104691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221232/
https://www.ncbi.nlm.nih.gov/pubmed/37430608
http://dx.doi.org/10.3390/s23104691

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