Wireless Mesh Networks (WMNs) are known for their significant resilience and rapid deployment capabilities, rendering them effective solutions for various 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, to find the best locations for mesh routers in WMNs is a complex challenge because it is classified as an NP-hard problem. To tackle this challenge, we propose and implement a Cuckoo Search (CS) algorithm based intelligent simulation system, called WMN-CS. In this study, we evaluate the performance of WMN using WMN-CS system considering the load balancing among mesh routers. The simulation results demonstrate that the system effectively manages load balancing while maximizing connectivity and user coverage.

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Performance Evaluation of a Small-Scale WMN by WMN-CS Simulation System Considering Load Balancing Among Mesh Routers

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

摘要

Wireless Mesh Networks (WMNs) are known for their significant resilience and rapid deployment capabilities, rendering them effective solutions for various 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, to find the best locations for mesh routers in WMNs is a complex challenge because it is classified as an NP-hard problem. To tackle this challenge, we propose and implement a Cuckoo Search (CS) algorithm based intelligent simulation system, called WMN-CS. In this study, we evaluate the performance of WMN using WMN-CS system considering the load balancing among mesh routers. The simulation results demonstrate that the system effectively manages load balancing while maximizing connectivity and user coverage.