Performance Evaluation of WMN-GA System for Low Densities of Clients and Different Settings of Population Size

Tetsuya Oda, Admir Barolli, Evjola Spaho, L. Barolli, F. Xhafa, M. Takizawa
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Abstract

Wireless Mesh Networks (WMNs) distinguish for they low cost nature that makes them very attractive for providing wireless Internet connectivity. Such infrastructures can be used to deploy community networks, metropolitan area networks, municipal and corporative networks, and to support applications for urban areas, medical, transport and surveillance systems. The main issues in WMNs are achievement of network connectivity and stability as well as QoS in terms of user coverage. In this paper, we propose a system for solving the node placement problem in WMNs. We evaluate the performance of WMN-GA for three different settings of population size 8, 64 and 512. For evaluation, we consider giant component and the number of covered users parameters. The simulation results shows that with the increasing of the population size, GA obtains better result. However, with the increase of the population size, the GA needs more computational time.
低客户端密度和不同人口规模设置下WMN-GA系统性能评价
无线网状网络(WMNs)以其低成本的特性而闻名,这使得它在提供无线互联网连接方面非常有吸引力。这些基础设施可用于部署社区网络、城域网、市政和企业网络,并支持城市地区、医疗、运输和监视系统的应用。WMNs的主要问题是实现网络连通性和稳定性以及用户覆盖方面的QoS。在本文中,我们提出了一个解决WMNs中节点放置问题的系统。我们在种群大小为8、64和512的三种不同设置下评估了WMN-GA的性能。为了进行评估,我们考虑了巨大的组件和覆盖用户参数的数量。仿真结果表明,随着种群规模的增大,遗传算法获得了较好的效果。然而,随着种群规模的增加,遗传算法需要更多的计算时间。
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