Performance Evaluation of a Cat Swarm Optimization Based Simulation System Considering Different Mixture Ratios and Uniform Distribution of Mesh Clients
摘要
Wireless Mesh Networks (WMNs) are rapidly developing due to their usefulness and deployment capabilities, making them effective solutions for diverse networking applications. However, these networks face several challenges, including congestion, interference, diminished data transfer rates, packet loss, and increased latency. The strategic placement of mesh routers is crucial for mitigating these issues. However, finding the best placement of mesh routers in WMNs is a complex and challenging issue and is classified as an NP-hard problem. To solve this problem, we propose and implement a Cat Swarm Optimization (CSO) based intelligent simulation system, called WMN-CSO. We evaluate the performance of proposed system for Uniform distribution of mesh clients considering different Mixture Ratios (MRs). The simulation results indicate that the system performs better for smaller MR values.