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Performance Analysis of WMNs Using Simulated Annealing Algorithm for Different Temperature Values

机译:使用模拟退火算法对不同温度值的WMN进行性能分析

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On of the key advantages of Wireless Mesh Networks (WMNs) is their importance for providing cost-efficient broadband connectivity. There are issues for achieving the network connectivity and user coverage, which are related with the node placement problem. In this work, we consider the router node placement problem in WMNs and find the optimal distribution of router nodes in order to provide the best network connectivity among themselves and provide the best client coverage in a set of uniformly distributed clients. We use Simulated Annealing (SA) algorithm in our WMN-SA simulation system to calculate the size of Giant Component (GC) and number of covered users with different temperature values of SA.
机译:无线网状网络(WMN)的主要优势之一是它们对于提供具有成本效益的宽带连接的重要性。存在实现网络连接和用户覆盖范围的问题,这与节点放置问题有关。在这项工作中,我们考虑WMN中的路由器节点放置问题,并找到路由器节点的最佳分布,以便在它们之间提供最佳的网络连接并在一组均匀分布的客户端中提供最佳的客户端覆盖范围。我们在WMN-SA仿真系统中使用模拟退火(SA)算法来计算巨型分量(GC)的大小和具有不同SA温度值的覆盖用户数。

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