Abstract
The Wireless Mesh Networks (WMNs) have attracted attention for different applications. They are an important networking infrastructure and they have many advantages such as low cost and high-speed wireless Internet connectivity. However, they have some problems such as router placement, covering of mesh clients and load balancing. To deal with these problems, in our previous work, we implemented a hybrid simulation system based on Particle Swarm Optimization (PSO) and Distributed Genetic Algorithm (DGA) called WMN-PSODGA. Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we consider Boulevard distribution of mesh clients and three router replacement methods: Random Inertia Weight Method (RIWM), Rational Decrement of Vmax Method (RDVM) and Constriction Method (CM). We carry out simulations using WMN-PSODGA hybrid simulation system and compare the performance of RIWM with RDVM and CM. The simulation results show that RIWM has better loading balancing than RDVM and CM.
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Barolli, A., Ampririt, P., Sakamoto, S., Kulla, E., Barolli, L. (2022). A Comparison Study of RIWM with RDVM and CM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients. In: Barolli, L., Kulla, E., Ikeda, M. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 118. Springer, Cham. https://doi.org/10.1007/978-3-030-95903-6_24
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