Distributed statistical estimation of the number of nodes in sensor networks
Distributed statistical estimation of the number of nodes in sensor networks
复制标题
传感器网络节点数量的分布式统计估计
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
L. Schenato
中科院分区：
文献类型：
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作者：
Damiano Varagnolo;G. Pillonetto;L. Schenato
网络中活动传感器数量的分布式估计对于估计和组织目的非常重要。我们提出了一种基于以下范例的设计方法：一些本地随机生成的值在各种传感器之间交换，从而通过已知的基于共识的策略进行修改。对一致值的统计分析可以估计参与者传感器的数量。这种方法的主要特点是：算法是完全分布式的，因为它们不需要领导者选举步骤；传感器不需要传输验证信息（例如识别号或类似数据），因此只要出现隐私问题就可以实施该策略。在对范式进行严格的阐述之后，我们分析了一些实际例子，从统计角度充分描述了它们，最后我们提供了一些一般性的理论结果和渐近分析。
The distributed estimation of the number of active sensors in a network can be important for estimation and organization purposes. We propose a design methodology based on the following paradigm: some locally randomly generated values are exchanged among the various sensors and thus modified by known consensus-based strategies. Statistical analysis of the a-consensus values allows estimation of the number of participant sensors. The main features of this approach are: algorithms are completely distributed, since they do not require leader election steps; sensors are not requested to transmit authenticating information (for example identification numbers or similar data), and thus the strategy can be implemented whenever privacy problems arise. After a rigorous formulation of the paradigm we analyze some practical examples, fully characterize them from a statistical point of view, and finally we provide some general theoretical results and asymptotic analyses.