Abstract
Wireless Mesh Networks (WMNs) are gaining a lot of attention from researchers due to their advantages such as easy maintenance, low upfront cost, and high robustness. However, designing a robust WMN at low cost requires the use of the least possible mesh routers but still interconnected and able to offer full coverage. Therefore, the placement of mesh routers over the area of interest is a problem that entails thorough planning. In our previous work, we implemented a simulation system that deals with this problem considering Particle Swarm Optimization (PSO) and Distributed Genetic Algorithm (DGA), called WMN-PSODGA. In this paper, we compare the results of Stadium distribution of mesh clients for Roulette Wheel and Random Selection methods for Linearly Decreasing Inertia Weight Method (LDIWM). The simulation results show that the use of roulette wheel achieves full client coverage, better connectivity and improved load balance.
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Bylykbashi, K., Qafzezi, E., Ampririt, P., Barolli, A., Kulla, E., Barolli, L. (2023). Performance Comparison of Roulette Wheel and Random Selection Methods by WMN-PSODGA Simulation System Considering Stadium Distribution and LDIWM. In: Barolli, L. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2022. Lecture Notes in Networks and Systems, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-031-20029-8_2
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