Linearly decreasing inertia weight PSO and improved weight factor-based clustering algorithm for wireless sensor networks

In wireless sensor networks (WSNs), clustering is one of the most effective routing protocols. Most clustering algorithms include two stages of operations: cluster head selection and cluster formation. Cluster heads are selected from the sensor nodes based on several key parameters like residual ene...

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Veröffentlicht in:	Journal of ambient intelligence and humanized computing Jg. 14; H. 6; S. 6661 - 6679
Hauptverfasser:	Choudhary, Shilpa, Sugumaran, S., Belazi, Akram, El-Latif, Ahmed A. Abd
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Clustering Communication Computational Intelligence Energy consumption Engineering Inertia Literature reviews Microelectromechanical systems Nodes Optimization algorithms Optimization techniques Original Research Parameters Particle swarm optimization Protocol Residual energy Robotics and Automation Sensors User Interfaces and Human Computer Interaction Wireless sensor networks Wireless sensor networks Clustering Particle swarm optimization (PSO) Energy-efficient
ISSN:	1868-5137, 1868-5145
Online-Zugang:	Volltext
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