MMSE estimation in a sensor network in the presence of an adversary
MMSE estimation in a sensor network in the presence of an adversary
复制标题
在存在对手的情况下传感器网络中的 MMSE 估计
DOI：
10.1109/isit.2016.7541745
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
V. Veeravalli
中科院分区：
文献类型：
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作者：
Craig Wilson;V. Veeravalli
在两个节点的传感器网络中的估计被认为是，与一个传感器的高质量，但可能受到对手和一个传感器的低质量，但免疫对手的行动。传感器的观测值在融合中心合并，以产生考虑到对手行为的最小均方误差（MSE）估计。介绍了一种基于假设检验的方法来判断是否应该使用高质量的传感器。假设检验的虚警概率引入了在对手不采取行动时和对手采取行动时的MSE性能之间的自然权衡。最后，提出了一种方法来鲁棒地选择虚警概率，以确保良好的性能，而不管对手的行动。
Estimation in a two node sensor network is considered, with one sensor of high quality but potentially affected by an adversary and one sensor of low quality but immune to the actions of the adversary. The observations of the sensors are combined at a fusion center to produce a minimum mean square error (MSE) estimate taking into account the actions of the adversary. An approach based on hypothesis testing is introduced to decide whether the high quality sensor should be used. The false alarm probability of the hypothesis test introduces a natural trade-off between the MSE performance when the adversary takes no action and when the adversary acts. Finally, a method is developed to select the false alarm probability robustly to ensure good performance regardless of the adversary's action.