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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Vydané v:	Entropy (Basel, Switzerland) Ročník 24; číslo 10; s. 1366
Hlavní autori:	Yan, Yonghang, Xia, Xuewen, Zhang, Lingli, Li, Zhijia, Qin, Chunbin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 27.09.2022 MDPI
Predmet:	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
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