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MEGA:用于在无线网格网络中放置路由器节点的最大积遗传算法.

Nurzhan Ussipov1, Sayat Akhtanov1, Dana Turlykozhayeva1

  • 1Faculty of Physics and Technology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.

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最大透遗传算法 (MEGA) 优化了无线网格网络 (WMN) 节点的位置. 与其他领先的算法相比,MEGA在网状路由器定位方面表现出卓越的有效性和可用性.

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进入的过程中,遗传算法是一种遗传算法.网格路由器节点的放置 网格路由器节点的放置网络连接性网络连接性用户覆盖范围用户覆盖范围无线网格网络是无线网格网络.

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科学领域:

  • 计算机科学 计算机科学
  • 网络工程 网络工程
  • 优化算法 优化算法

背景情况:

  • 无线网格网络 (WMN) 提供了部署优势,但面临着节点放置的挑战.
  • 在WMN中最佳的节点放置是一个NP难题,需要先进的优化.
  • 现有的启发式和元启发式算法在WMN节点放置方面存在局限性.

研究的目的:

  • 为WMN网格路由器节点放置引入最大积遗传算法 (MEGA).
  • 为了评估MEGA的性能与已建立的优化算法对比.
  • 评估MEGA对WMN网络连接和用户覆盖率的影响.

主要方法:

  • 开发最大的遗传算法 (MEGA).
  • 在各种网络场景中对MEGA进行实验性评估.
  • 使用Coyote优化算法 (COA),火虫算法 (FA),遗传算法 (GA) 和粒子群优化 (PSO) 的比较分析.

主要成果:

  • MEGA在优化网状路由器节点放置方面表现出卓越的性能.
  • 该算法在提高网络连接性和用户覆盖率方面表现出有效性.
  • MEGA被证明是WMN节点放置挑战的可用的和有效的解决方案.

结论:

  • 最大基因算法 (MEGA) 是一个非常有效的方法,用于WMN节点的放置.
  • 在COA,FA,GA和PSO等现有算法上,MEGA提供了显著的优势.
  • 这项研究证实了MEGA通过最佳路由器定位来提高WMN性能的实用性.