首页> 外文会议>International Conference on Emerging Network Intelligence >Investigating the Robustness of Detection vis-à-vis the Detector Threshold in WSN with Fading MAC and Differing Sensor SNRs – Optimal Sensor Gains vs. Uniform Sensor Gains
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Investigating the Robustness of Detection vis-à-vis the Detector Threshold in WSN with Fading MAC and Differing Sensor SNRs – Optimal Sensor Gains vs. Uniform Sensor Gains

机译:研究WSN中检测器阈值的检测阈值和不同传感器SNRS的鲁棒性 - 最佳传感器增益与均匀传感器增益

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In Wireless Sensor Networks, if the Multiple Access Channel between distributed sensors and multiple antennas is fading and the envelope of the channel gain distribution is unknown and time-varying, fusion at the antennas is usually incoherent. Often, the overall sensor power is upper bounded by a constraint on the onboard battery power. Then, the optimal sensor power allocation scheme which minimizes the probability of missed detection is known to outperform uniform sensor power allocation scheme. Further, if the observation signal-to-noise ratios at the sensors are non-identical, optimizing the probability of detection must take into account the combined effect of the differing sensor signal-to-noise ratios and the fading nature of the channel as seen by the sensors. Neyman-Pearson formulation of this problem sets out by setting an upper bound on the permissible probability of false alarm. Consequently, the detector threshold is governed by the power allocation scheme – uniform or optimal. We examine here the inter-dependencies between the probability of false alarm, the probability of detection and the detector threshold. We demonstrate that for robust detection vis-à-vis variations in detector threshold, there is an additional compelling case for optimal power allocation over uniform power allocation.
机译:在无线传感器网络中,如果分布式传感器和多个天线之间的多通道通道衰落并且信道增益分布的包络未知且时变,则天线的融合通常不连贯。通常,整体传感器功率由车载电池电量的约束是上限。然后,已知最小化错过检测概率的最佳传感器功率分配方案以优于均匀的传感器功率分配方案。此外,如果传感器处的观察信噪比是非相同的,则优化检测概率必须考虑不同传感器信噪比的组合效果和通道的衰落性质所看到的由传感器。 Neyman-Pearson对此问题的制定通过在误报概率的允许概率上设置上限来设置。因此,检测器阈值由功率分配方案 - 均匀或最佳的控制。我们在这里检查误报概率之间的阶段,检测概率和探测器阈值之间。我们证明,对于耐受检测器阈值的鲁棒检测Vis-in-in-Vis变化,存在额外的引人注目的情况,以实现均匀功率分配的最佳功率分配。

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