Binary whale optimization algorithm for topology planning in wireless mesh networks

Sylia Mekhmoukh Taleb; Yassine Meraihi; Seyedali Mirjalili; Selma Yahia; Amar Ramdane-Cherif

doi:10.1016/B978-0-32-395365-8.00049-X

Binary whale optimization algorithm for topology planning in wireless mesh networks

Sylia Mekhmoukh Taleb, Yassine Meraihi, Seyedali Mirjalili, Selma Yahia, Amar Ramdane-Cherif

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The objective of this research is to tackle the topology planning issue in Wireless Mesh Networks (WMNs) through the implementation of a Binary Whale Optimization Algorithm (BWOA). S-shaped and V-shaped families of transfer functions are employed to obtain a binary versions of WOA. BWOA is designed to reduce the number of mesh routers needed to meet the full coverage and full connectivity requirements. The performance of BWOA is evaluated using three metrics, namely the minimum, maximum, and average number of mesh routers, while taking into account variations in the number of mesh clients. According to the findings of the simulations carried out in Matlab®, BWOA algorithms utilizing V-shaped transfer functions outperform S-shaped transfer functions-based BWOA algorithms in terms of required number of mesh routers.

Original language	English
Title of host publication	Handbook of Whale Optimization Algorithm
Subtitle of host publication	Variants, Hybrids, Improvements, and Applications
Publisher	Elsevier
Pages	601-611
Number of pages	11
ISBN (Electronic)	9780323953658
ISBN (Print)	9780323953641
DOIs	https://doi.org/10.1016/B978-0-32-395365-8.00049-X
Publication status	Published - 1 Jan 2023

Keywords

Topology planning
Transfer functions
Whale optimization algorithm
Wireless mesh networks

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10.1016/B978-0-32-395365-8.00049-X

Cite this

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abstract = "The objective of this research is to tackle the topology planning issue in Wireless Mesh Networks (WMNs) through the implementation of a Binary Whale Optimization Algorithm (BWOA). S-shaped and V-shaped families of transfer functions are employed to obtain a binary versions of WOA. BWOA is designed to reduce the number of mesh routers needed to meet the full coverage and full connectivity requirements. The performance of BWOA is evaluated using three metrics, namely the minimum, maximum, and average number of mesh routers, while taking into account variations in the number of mesh clients. According to the findings of the simulations carried out in Matlab{\textregistered}, BWOA algorithms utilizing V-shaped transfer functions outperform S-shaped transfer functions-based BWOA algorithms in terms of required number of mesh routers.",

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AU - Meraihi, Yassine

AU - Mirjalili, Seyedali

AU - Yahia, Selma

AU - Ramdane-Cherif, Amar

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Binary whale optimization algorithm for topology planning in wireless mesh networks

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Keywords

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