Visualization of Evolutionary Computation Process for Node Placement in WMNs Considering Weibull and Exponential Distribution of Mesh Clients

Abstract

In this paper, we use WMN-GA system for node placement problem in WMNs. For a given grid size and a given number of mesh nodes, our WMN-GA system use Genetic Algorithms (GAs) to find where to position the mesh nodes in order to maximize the coverage and the connectivity of the network. We evaluate and compare the performance of Weibull and Exponential distributions considering giant component and number of covered users parameters. For both scenarios, we present the visualization of evolutionary computation process. The simulation results show that for Weibull distribution the system has better performance.