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| Titre: | Enhanced Whale Optimization Algorithm for mesh routers placement problem in wireless mesh networks |
| Auteur(s): | Mekhmoukh Taleb, Sylia
Meraihi, Yassine
Yahia, Selma
Benmessaoud Gabis, Asma
Ramdane-Cherif, Amar
Acheli, Dalila |
| Mots-clés: | Whale Optimization Algorithm (WOA)
Wireless Mesh Networks (WMNs)
mesh routers placement problem
Generalized opposition based-learning (GOBL)
Lévy Flight Distribution (LFD) |
| Date de publication: | 2022 |
| Editeur: | IEEE |
| Collection/Numéro: | 2022 3rd International Conference on Human-Centric Smart Environments for Health and Well-being (IHSH);pp. 25-30 |
| Résumé: | In order to address the placement issue for mesh routers in wireless mesh networks, this study suggests an enhanced variant of the Whale optimization Algorithm (WOA), called ELG-WOA. The Generalized Opposition Based-Learning (GOBL) and the Levy Flight Distribution (LFD) are two methods that were incorporated into the original WOA to form the foundation of the ELG-WOA. Four performance indicators, including coverage, connectivity, load balancing, and fitness value, are used to validate the performance of ELG-WOA. The simulation results showed that ELG-WOA outperformed WOA and Bat Algorithm (BA) |
| URI/URL: | https://ieeexplore.ieee.org/document/10092133/authors#authors
DOI: 10.1109/IHSH57076.2022.10092133
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11515 |
| Collection(s) : | Communications Internationales
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