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

机译:超宽带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:传感器网络由于其独特的特性而越来越受到研究界的关注。但是,最重要的问题是能耗,它限制了网络的寿命。已经提出了聚类作为用于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,但是很少有专门针对超宽带(UWB)技术设计的。 UWB是无线连接的关键解决方案,具有超低功耗和良好的抗干扰能力。基于这些原理,我们为UWB传感器网络提出了一种新颖的能量感知聚类算法。基于仿真的研究将证明所提出算法可实现的卓越性能。

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