Enhanced QOS energy-efficient routing algorithm using deep belief neural network in hybrid falcon-improved ACO nature-inspired optimization in wireless sensor networks

Wireless sensor networks (WSNs) have recently acquired prominence in a variety of applications such as remote monitoring and tracking. Since it is virtually hard to recharge the nodes in their remote deployment, also, the transmission of data from nodes to the base station requires a significant amo...

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Veröffentlicht in:	Neural network world Jg. 33; H. 3; S. 113
Hauptverfasser:	Krishna K.P.R., Thirumuru, R
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Prague Czech Technical University in Prague, Faculty of Transportation Sciences 01.01.2023
Schlagworte:	Algorithms Ant colony optimization Data acquisition Energy consumption Machine learning Neural networks Nodes Optimization techniques Quality of service architectures Remote monitoring Remote sensors Routing (telecommunications) Virtual networks Wireless sensor networks
ISSN:	1210-0552, 2336-4335
Online-Zugang:	Volltext
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