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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Vydáno v:	Sustainable computing informatics and systems Ročník 43; s. 101008
Hlavní autoři:	Sahayaraj, J. Martin, Gunasekaran, K., Verma, S. Kishore, Dhurgadevi, M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.09.2024
Témata:	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
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