A Clustering Scheme Based on the Binary Whale Optimization Algorithm in FANET

With the continuous development of Unmanned Aerial Vehicle (UAV) technology, UAVs are widely used in military and civilian fields. Multi-UAV networks are often referred to as flying ad hoc networks (FANET). Dividing multiple UAVs into clusters for management can reduce energy consumption, maximize n...

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Veröffentlicht in:	Entropy (Basel, Switzerland) Jg. 24; H. 10; S. 1366
Hauptverfasser:	Yan, Yonghang, Xia, Xuewen, Zhang, Lingli, Li, Zhijia, Qin, Chunbin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 27.09.2022 MDPI
Schlagworte:	Ad hoc networks Ad hoc networks (Computer networks) Algorithms Analysis binary whale optimization algorithm (BWOA) Clustering Clustering (Computers) Communication Drone aircraft Energy consumption Energy resources Energy sources FANET Intelligence Maintenance Management Mathematical optimization Methods Optimization Optimization algorithms Surveillance Technology application UAV clusters Unmanned aerial vehicles China UAV clusters clustering FANET binary whale optimization algorithm (BWOA)
ISSN:	1099-4300, 1099-4300
Online-Zugang:	Volltext
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