Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks

Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks

This research introduces a hybrid approach combining bio- and nature-inspired metaheuristic algorithms to enhance scheduling efficiency and minimize energy consumption in Underwater Acoustic Sensor Networks (UASNs). Five hybridized algorithms are designed to efficiently schedule nodes, reducing ener...

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Bibliographic Details
Main Authors: Umar Draz, Tariq Ali, Sana Yasin, Muhammad Hasanain Chaudary, Muhammad Ayaz, El-Hadi M. Aggoune, Isha Yasin
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
bio-inspired
genetic algorithm
beacon node localization
energy reduction
metaheuristic algorithms
Online Access:https://www.mdpi.com/2227-7390/12/22/3447
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