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An Intelligent System Based on Cuckoo Search for Node Placement Problem in WMNs: Tuning of Scale and Host Bird Recognition Rate Hyperparameters

  • Shinji Sakamoto,
  • Kaho Asakura,
  • Leonard Barolli,
  • Makoto Takizawa

摘要

Wireless Mesh Networks (WMNs) have become popular and they have many advantages. However, they have inherent wireless communication issues. To solve the problem, optimization of locations of mesh routers is a good approach. But optimizing the locations of mesh routers is an NP-hard problem. In this research work, we present an intelligent simulation system using Cuckoo Search (CS) algorithm called WMN-CS. We tune the hyperparameters and carry out computer simulations. The simulation results show that a good performance is achieved when the scale parameter ( \(\gamma \) ) values range from 0.07 to 0.09 and the host bird recognition rate ( \(p_a\) ) values from 0.900 to 0.925.