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Evaluation of WMN-GA for different mutation operators

机译:针对不同突变算子的WMN-GA评估

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Wireless mesh networks (WMNs) have become an important networking infrastructure for providing cost-efficient broadband wireless connectivity. WMNs are showing their applicability in deployment of medical, transport and surveillance applications in urban areas, metropolitan, neighbouring communities and municipal area networks. In this paper, we deal with connectivity and coverage problem of WMN. Because these problems are known to be NP-Hard, we propose and implement a system based on genetic algorithms (GAs) called WMN-GA. We evaluate the performance of WMN-GA for different mutation operators and show that single mutation operator has better behaviour considering size of giant component and the number of covered users.
机译:无线网状网络(WMN)已成为用于提供具有成本效益的宽带无线连接的重要网络基础结构。 WMN显示出其在城市,大城市,邻近社区和市政区域网络中部署医疗,运输和监视应用程序的适用性。在本文中,我们处理WMN的连通性和覆盖问题。因为已知这些问题是NP-Hard,所以我们提出并实现了一个基于遗传算法(GA)的系统,称为WMN-GA。我们评估了WMN-GA对于不同变异算子的性能,并表明考虑到巨型组件的大小和所覆盖的用户数量,单个变异算子具有更好的行为。

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