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A Low-Cost VLSI Architecture for Robust Distributed Estimation in Wireless Sensor Networks

机译:一种低成本的VLSI架构,用于无线传感器网络中的鲁棒分布式估计

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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. 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 with the ASIC and included in a standalone device. Therefore, a simple and efficient distributed estimation scheme requiring lower hardware cost and power consumption is extremely desired for fusion center. In this paper, we propose the efficient collaborative sensor fault detection (ECSFD) scheme and its VLSI architecture. Given the low circuit complexity, it is suitable for hardware implementation. The circuit of ECSFD contains 22589 gates and requires a core size of 571 $,times,$559 $mu$m$^{2}$ by using TSMC 0.18 $mu$m cell library. Simulation results indicate the accuracy of the estimates obtained from the ECSFD is better than that obtained from a conventional approach.
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)在存在传感器故障的情况下针对融合中心的鲁棒分布式估计方案。该方案可以有效地识别故障节点,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,融合中心可能使用ASIC实施,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硬件成本和功耗的简单有效的分布式估计方案。在本文中,我们提出了一种高效的协同传感器故障检测(ECSFD)方案及其VLSI架构。由于电路复杂度低,因此适合硬件实施。 ECSFD的电路包含22589个门,通过使用TSMC 0.18 $ mu $ m单元库,需要的内核尺寸为571 $乘以$ 559 $ mu $ m $ ^ {2} $。仿真结果表明,从ECSFD获得的估计值的准确性优于从常规方法获得的估计值。

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