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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 Normal and Uniform distribution of mesh clients considering SGC and NCMC metrics. The simulation results indicate that the proposed system can achieve better connectivity and user coverage for Normal distribution of mesh clients.

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Implementation of Cat Swarm Optimization Simulation System for Node Placement Problem in Wireless Mesh Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Yusuke Irie,
  • Shinji Sakamoto,
  • Paboth Kraikritayakul,
  • Admir Barolli,
  • Yi Liu,
  • Leonard Barolli

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 Normal and Uniform distribution of mesh clients considering SGC and NCMC metrics. The simulation results indicate that the proposed system can achieve better connectivity and user coverage for Normal distribution of mesh clients.