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An Annealing Approach to Router Nodes Placement Problem in Wireless Mesh Networks

机译:无线网状网络中路由器节点放置问题的一种退火方法

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Mesh router nodes placement is a central problem to Wireless Mesh Networks (WMNs). An efficient placement of mesh router nodes is indispensable for achieving network performance in terms of both network connectivity and user coverage. Unfortunately the problem is computationally hard to solve to optimality even for small deployment areas and a small number of mesh router nodes. As WMNs are becoming an important networking infrastructure for providing cost-efficient broadband wireless connectivity, researchers are paying attention to the resolution of the mesh router placement problem through heuristic approaches in order to achieve near optimal, yet high quality solutions in reasonable time. In this work we propose and evaluate a Simulated Annealing (SA) approach to placement of mesh router nodes in WMNs. The optimization model uses two maximization objectives, namely, the size of the giant component in the network and user coverage. Both objectives are important to deployment of WMNs; the former is crucial to achieve network connectivity while the later is an indicator of the QoS in WMNs. The SA approach distinguishes for its simplicity yet its policy of neighborhood exploration allows to reach promising areas of the solution space where quality solutions could be found. We have experimentally evaluated the SA algorithm through a benchmark of generated instances, varying from small to large size, and capturing different characteristics of WMNs such as topological placements of mesh clients. The experimental results showed the efficiency of the annealing approach for the placement of mesh router nodes in WMNs.
机译:网状路由器节点的放置是无线网状网络(WMN)的中心问题。在网络连接性和用户覆盖范围方面,网状路由器节点的有效放置对于实现网络性能都是必不可少的。不幸的是,即使对于较小的部署区域和少量的网状路由器节点,该问题在计算上也难以解决,无法达到最优。随着WMN成为提供具有成本效益的宽带无线连接的重要网络基础架构,研究人员正在通过启发式方法来关注网状路由器放置问题的解决方案,以便在合理的时间内获得接近最佳但高质量的解决方案。在这项工作中,我们提出并评估了在WMN中放置网状路由器节点的模拟退火(SA)方法。优化模型使用两个最大化目标,即网络中巨型组件的大小和用户覆盖范围。这两个目标对于WMN的部署都很重要;前者对于实现网络连接至关重要,而后者则是WMN中QoS的指标。 SA方法以其简单性而著称,但其邻域探索策略允许到达解决方案空间中可以找到优质解决方案的有希望的区域。我们通过生成实例的基准(大小不一),通过实验评估了SA算法,并捕获了WMN的不同特征,例如网格客户端的拓扑布局。实验结果表明了退火方法在WMN中放置网状路由器节点的效率。

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