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Multi-criteria Optimization Approach for the Deployment Planning Problem of Multi-hop Wireless Networks

机译:多跳无线网络部署规划问题的多标准优化方法

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The few studies carried out so far on planning Wireless Mesh Networks (WMNs) tend all to be mono- objective optimization models. We propose a different approach to address the planning of WMN problem that reflects as much as possible the real-life problem. Basically, an optimal (or rather a good and realistic) planning solution has to be simultaneously cheap (minimizing the deployment cost) and efficient (maximizing the throughput). To achieve this we devise a novel generic multi-objective optimization model where the two objectives of network cost deployment and network throughput are simultaneously optimized under obvious network constraints. We then derive two instance models differing mainly in how the second objective is defined: maximizing the culmination of the flows over the entire network or minimizing the aggregation of network interferences. Obviously, a new network metric is proposed to handle this task. A comparative experimental study with different key-parameter settings on the two instance models is conducted to help network planner decide which planning optimization model to choose given their specifie requirements and/or scenarios.
机译:到目前为止对规划无线网状网络(WMN)进行的少数研究往往都是单客目标优化模型。我们提出了一种不同的方法来解决WMN问题的规划,尽可能多地反映现实生活问题。基本上,最佳(或相当良好和现实)的规划解决方案必须同时便宜(最小化部署成本)和高效(最大化吞吐量)。为了实现这一目标,我们设计了一种新的通用多目标优化模型,在明显的网络约束下同时优化了网络成本部署和网络吞吐量的两个目标。然后,我们推出了两个实例模型,主要是定义第二个目标的不同:最大化整个网络上流的峰值,或最大限度地减少网络干扰的聚合。显然,提出了一种新的网络度量来处理此任务。对两种实例模型的不同关键参数设置的比较实验研究是为了帮助网络计划员决定选择哪些规划优化模型,以便给定其指定的要求和/或场景。

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