Energy efficient clustering and sink mobility protocol using Improved Dingo and Boosted Beluga Whale Optimization Algorithm for extending network lifetime in WSNs

In Wireless Sensor Networks (WSNs), the potential design challenge of energy efficiency is determined to be handled through the strategies of clustering and routing. The approaches of clustering and routing in WSNs pertain to the problems of Non-deterministic Polynomial (NP)-hard optimization. In th...

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Veröffentlicht in:	Sustainable computing informatics and systems Jg. 43; S. 101008
Hauptverfasser:	Sahayaraj, J. Martin, Gunasekaran, K., Verma, S. Kishore, Dhurgadevi, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2024
Schlagworte:	Boosted Beluga Whale Optimization Algorithm (BBWOA) Cluster Head (CH) Clustering Dingo Optimization Algorithm (IDOA) Network lifetime Sink node mobility Wireless Sensor Networks (WSNs) Wireless Sensor Networks (WSNs) Sink node mobility Network lifetime Cluster Head (CH) Clustering Boosted Beluga Whale Optimization Algorithm (BBWOA) Dingo Optimization Algorithm (IDOA)
ISSN:	2210-5379
Online-Zugang:	Volltext
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