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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/12/22/3447

Similar Items