Performance analysis of wmns by wmn-psodga simulation system considering load balancing: a comparison study for exponential and weibull distribution of mesh clients

Abstract

Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high-speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSO and distributed GA (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 Exponential and Weibull distributions of mesh clients and carry out a comparison study. The simulation results show that the performance of the Weibull distribution is better compared with the Exponential distribution.