Wireless Mesh Networks (WMNs) are well-known for their exceptional resilience and rapid deployment capabilities, making them well-suited for a diverse range of 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 critical for mitigating these issues. Nevertheless, determining the optimal locations for mesh routers within WMNs is a complex problem that is classified as NP-hard. To solve this problem, we propose and implement an intelligent simulation system based on Cuckoo Search (CS) algorithm, called WMN-CS. This study evaluates the performance of WMNs utilizing the WMN-CS system considering load balancing among mesh routers and Exponential distribution of mesh clients. The simulation results demonstrate that the system effectively facilitates load balancing while improving connectivity and user coverage.

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A Cuckoo Search Based Simulation System for WMNs and Its Performance Considering Load Balancing and Exponential Distribution of Mesh Clients

  • Shinji Sakamoto,
  • Yi Liu,
  • Keita Matsuo,
  • Leonard Barolli

摘要

Wireless Mesh Networks (WMNs) are well-known for their exceptional resilience and rapid deployment capabilities, making them well-suited for a diverse range of 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 critical for mitigating these issues. Nevertheless, determining the optimal locations for mesh routers within WMNs is a complex problem that is classified as NP-hard. To solve this problem, we propose and implement an intelligent simulation system based on Cuckoo Search (CS) algorithm, called WMN-CS. This study evaluates the performance of WMNs utilizing the WMN-CS system considering load balancing among mesh routers and Exponential distribution of mesh clients. The simulation results demonstrate that the system effectively facilitates load balancing while improving connectivity and user coverage.