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An energy-aware self-organizing clustering algorithm for UWB wireless sensor networks

机译:用于UWB无线传感器网络的能量感知自组织聚类算法

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Sensor networks are gaining more and more interest in the research community, due to their unique characteristics. The most important problem, though, is energy consumption, which limits the lifetime of the network. Clustering has been proposed as a technique for organizing sensors in order to prolong their lifespan. Although many clustering algorithms have been proposed, very few of them are especially designed for the ultra-wideband (UWB) technology. UWB is a key solution for wireless connectivity characterized by ultralow power consumption and a good degree of robustness to interference. Based on these principles, we propose a novel energy-aware clustering algorithm for UWB sensor networks. Simulation based studies would demonstrate the superior performance that it is achieved by the proposed algorithm.
机译:由于其独特的特征,传感器网络在研究界越来越兴趣。但是,最重要的问题是能耗,这限制了网络的寿命。已经提出聚类作为组织传感器以延长其寿命的技术。尽管已经提出了许多聚类算法,但它们中的很少是专为超宽带(UWB)技术而设计的。 UWB是用于无线连接的关键解决方案,其特征是由超级功耗和干扰的良好稳健性的良好连接。根据这些原则,我们提出了一种用于UWB传感器网络的新能量感知聚类算法。基于仿真的研究将展示通过所提出的算法实现的优越性。

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