Enhanced Whale Optimization Algorithm for mesh routers placement problem in wireless mesh networks

Sylia Mekhmoukh Taleb, Yassine Meraihi, Selma Yahia, Asma Benmessaoud Gabis, Amar Ramdane-Chérif, Dalila Acheli · 2022

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).

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