Performance Evaluation of WMN-CS Intelligent Simulation System Considering Normal, Stadium, Subway and Uniform Distributions of Mesh Clients

Wireless Mesh Networks (WMNs) are effective networks because they have high-robustness and rapid deployment capabilities. However, they have have some issues such as congestion, interference, diminished data transfer speeds, packet losses, and increased latency. The location of mesh routers is one of the most critical decisions to deal with these problems. However, determining the optimal location of mesh routers in WMNs is difficult task and it is known to be an NP-hard problem. In order to solve this problem, we propose and implement an intelligent simulation system based on Cuckoo Search (CS) algorithm, which is a meta-heuristic approach. In this work, we evaluate the performance of WMN-CS system considering Normal, Stadium, Subway and Uniform distributions of mesh clients. The simulation results show that the distribution of mesh clients affects the performance of WMN-CS. The Normal distribution achieves a faster convergence compared to the other distributions. Comparing Stadium and Subway distributions, the Stadium distribution converges faster than the Subway distribution. The Uniform distribution shows the slowest convergence speed and has the lowest NCMC values.