Mekhmoukh Taleb, SyliaMeraihi, YassineYahia, SelmaBenmessaoud Gabis, AsmaRamdane-Cherif, AmarAcheli, Dalila2023-05-152023-05-152022https://ieeexplore.ieee.org/document/10092133/authors#authorsDOI: 10.1109/IHSH57076.2022.10092133https://dspace.univ-boumerdes.dz/handle/123456789/11515In 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)enWhale Optimization Algorithm (WOA)Wireless Mesh Networks (WMNs)mesh routers placement problemGeneralized opposition based-learning (GOBL)Lévy Flight Distribution (LFD)Other