Mesh Routers Placement by WMN-PSODGA Hybrid Intelligent System Considering Stadium Distribution and RDVM: A Comparison Study for Different Crossover Methods

Designing a robust Wireless Mesh Network (WMN) at low cost requires the use of the least possible mesh routers but still inter-connected 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 by 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 Unimodal Normal Distribution Crossover (UNDX), Multi-parental UNDX (UNDX-m), and Simplex Crossover (SPX) methods with Rational Decrement of Vmax Method (RDVM) as a router replacement method. The simulation results show that UNDX achieves full client coverage, better connectivity and improved load balance.