OGWO-CH: Hybrid Opposition-Based Learning with Gray Wolf Optimization Based Clustering Technique in Wireless Sensor Networks

OGWO-CH: Hybrid Opposition-Based Learning with Gray Wolf Optimization Based Clustering Technique in Wireless Sensor Networks

A Wireless Sensor Network (WSN) is a group of autonomous sensors that are distributed geographically. However, sensor nodes in WSNs are battery-powered, and the energy drainage is a significant issue. The clustering approach holds an imperative part in boosting the lifespan of WSNs. This approach ga...

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Bibliographic Details
Main Authors: Rajakumar Ramalingam, Dinesh Karunanidy, Aravind Balakrishnan, Mamoon Rashid, Ankur Dumka, Ashraf Afifi, Sultan S. Alshamrani
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Electronics
Subjects:
clustering approach
wireless sensor networks
oppositional based learning
gray wolf optimization algorithm
network lifetime
Online Access:https://www.mdpi.com/2079-9292/11/16/2593

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https://www.mdpi.com/2079-9292/11/16/2593

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