When Hierarchical Federated Learning Meets Stochastic Game: Towards an Intelligent UAV Charging in Urban Prosumers

Unmanned aerial vehicles (UAVs) nowadays are developing rapidly for various applications such as UAV taxis and delivery drones. However, the limited battery energy restricts the flight distance of the UAVs. Thus, urban prosumers equipped with drone recharge stations are introduced to provide chargin...

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Veröffentlicht in:	IEEE internet of things journal 2023-01, p.1-1
Hauptverfasser:	Zou, Luyao, Munir, Md. Shirajum, Tun, Yan Kyaw, Hassan, Sheikh Salman, Aung, Pyae Sone, Hong, Choong Seon
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous aerial vehicles Day-ahead energy scheduling Drones Federated learning Games Job shop scheduling LSTM-utilized hierarchical federated learning multi-agent deep reinforcement learning Quality of service Resource management stochastic game UAV charging enabled prosumers
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