论文标题
带宽受限的分布式分布式最快的变化检测在异质传感器网络中：匿名与非匿名设置
Bandwidth-Constrained Distributed Quickest Change Detection in Heterogeneous Sensor Networks: Anonymous vs Non-Anonymous Settings
论文作者
论文摘要
研究了1位反馈的异质分布最快的最快变化检测（HETDQCD）问题，其中融合中心通过匿名的1位反馈通过一堆异质传感器来监测突然的变化。考虑了两个融合规则，单枪和投票规则。我们根据最差的预期检测延迟和两个融合规则的误报分析性能。我们的分析揭示了使更多传感器参与决策的影响，并使我们能够在两个方案中找到几乎最佳的参数选择。值得注意的是，与均匀设置相比，第一个警报规则可能不再导致一击方案的最佳性能。然后调查了非匿名设置，其中提出了一种新颖的加权投票规则，该规则将不同类型的传感器的投票分配给不同的权重。仿真结果表明，所提出的方案能够胜过上述所有方案，以及匿名HETDQCD的混合物CUSUM方案，暗示了匿名的价格。
The heterogeneous distributed quickest change detection (HetDQCD) problem with 1-bit feedback is studied, in which a fusion center monitors an abrupt change through a bunch of heterogeneous sensors via anonymous 1-bit feedbacks. Two fusion rules, one-shot and voting rules, are considered. We analyze the performance in terms of the worst-case expected detection delay and the average run length to false alarm for the two fusion rules. Our analysis unveils the mixed impact of involving more sensors into the decision and enables us to find near optimal choices of parameters in the two schemes. Notably, it is shown that, in contrast to the homogeneous setting, the first alarm rule may no longer lead to the best performance among one-shot schemes. The non-anonymous setting is then investigated where a novel weighted voting rule is proposed that assigns different weights to votes from different types of sensors. Simulation results show that the proposed scheme is able to outperform all the above schemes and the mixture CUSUM scheme for the anonymous HetDQCD, hinting at the price of anonymity.
