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Robust distributed estimation using efficient sensor-fault detection in sensor networks

机译:在传感器网络中使用有效的传感器故障检测进行稳健的分布式估计

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A robust distributed estimation scheme for fusion center in the presence of sensor faults via collaborative sensor fault detection (CSFD) was proposed in our previous research [9]. The scheme can identify the faulty nodes efficiently and improve the accuracy of the estimates significantly. It achieves very good performance at the expense of such extensive computations as logarithm and division in the detecting process. In many real-time WSN applications, the fusion center might be implemented in an ASIC and included in a standalone device. Therefore, a simple and efficient distributed estimation scheme requiring lower computational complexity is extremely desired for fusion center. In this paper, we propose the efficient collaborative sensor fault detection (ECSFD) scheme. A simple method for measuring faulty weight of sensors is designed in ECSFD. Given the low computational complexity, it is suitable for hardware implementation. Simulation results indicate the accuracy of the estimates obtained from the ECSFD better than that obtained from a conventional approach when applied in sensor networks.
机译:在我们先前的研究中,提出了一种通过协作传感器故障检测(CSFD)为传感器故障存在时的融合中心提供鲁棒的分布式估计方案[9]。该方案可以有效地识别出故障节点,并显着提高估计的准确性。它在检测过程中以对数和除法这样的大量计算为代价获得了非常好的性能。在许多实时WSN应用中,融合中心可能在ASIC中实现,并包含在独立设备中。因此,对于融合中心非常需要一种要求较低计算复杂度的简单有效的分布式估计方案。在本文中,我们提出了一种有效的协作传感器故障检测(ECSFD)方案。在ECSFD中设计了一种用于测量传感器故障重量的简单方法。鉴于较低的计算复杂度,它适合于硬件实现。仿真结果表明,当应用于传感器网络时,从ECSFD获得的估计值的准确性要比从传统方法获得的估计值更好。

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