A Hybrid Heuristic Model for Duty Cycle Framework Optimization

A Hybrid Heuristic Model for Duty Cycle Framework Optimization

This paper proposes a hybrid metaheuristic approach to optimize a duty cycle framework based on Seagull and Mayfly Optimization (HSMO-DC) Algorithm. This approach becomes crucial as current clustering protocols are unable to efficiently tune the clustering parameters in accordance to the diversifica...

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Bibliographic Details
Main Authors: Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Jamal-Deen Abdulai
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:http://dx.doi.org/10.1155/2024/9972429
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