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A Trajectory Algorithm to Solve the Relay Node Placement Problem in Wireless Sensor Networks

机译:解决无线传感器网络中中继节点放置问题的轨迹算法

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Nowadays, wireless sensor networks are widely used in many fields of application. This promotes that many authors try to overcome the most important shortcomings of this type of network. This paper focuses on how to add relay nodes to previously established static wireless sensors networks in order to optimize two important factors: average energy consumption and average coverage. Since this is an NP-hard optimization problem, three different multiobjective metaheuristics are used; two of them are well-known genetic algorithms (NSGA-Ⅱ and SPEA2) and the third is a multiobjective version of the trajectory algorithm VNS. All the results obtained are analyzed by means of a widespread statistical methodology, using both set coverage and hypervolume as multiobjective quality metrics. We conclude that MO-VNS provides better performance on average than standards NSGA-Ⅱ and SPEA2.
机译:如今,无线传感器网络已广泛应用于许多应用领域。这促使许多作者试图克服此类网络最重要的缺点。本文重点介绍如何将中继节点添加到先前建立的静态无线传感器网络中,以优化两个重要因素:平均能耗和平均覆盖范围。由于这是一个NP困难的优化问题,因此使用了三种不同的多目标元启发法。其中两种是著名的遗传算法(NSGA-Ⅱ和SPEA2),第三种是轨迹算法VNS的多目标版本。使用集覆盖率和超量作为多目标质量指标,通过广泛的统计方法对获得的所有结果进行分析。我们得出的结论是,MO-VNS的平均性能要优于标准NSGA-Ⅱ和SPEA2。

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