Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations

Deploying Unmanned Aerial Vehicles (UAVs) for traffic monitoring has been a hotspot given their flexibility and broader view. However, a UAV is usually constrained by battery capacity due to limited payload. On the other hand, the development of wireless charging technology has allowed UAVs to reple...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 72; H. 5; S. 1 - 15
Hauptverfasser:	Fan, Mingfeng, Wu, Yaoxin, Liao, Tianjun, Cao, Zhiguang, Guo, Hongliang, Sartoretti, Guillaume, Wu, Guohua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Coders combinatorial optimization problems Deep learning Deep reinforcement learning Electric vehicle charging Encoders-Decoders Energy consumption heuristics Monitoring UAV routing Unmanned aerial vehicles Wireless power transmission
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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