Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

In this paper, a cluster-based approach is used to address the distributed fusion estimation problem (filtering and fixed-point smoothing) for discrete-time stochastic signals in the presence of random deception attacks. At each sampling time, measured outputs of the signal are provided by a network...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 19; no. 14; p. 3112
Main Authors:	Caballero-Águila, Raquel, Hermoso-Carazo, Aurora, Linares-Pérez, Josefa
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 14.07.2019 MDPI
Subjects:	Algorithms Big Data cluster-based approach Clustering Deception Design False information least-squares filtering least-squares fixed-point smoothing networked systems Sensors stochastic deception attacks Wireless networks Spain least-squares filtering least-squares fixed-point smoothing cluster-based approach networked systems stochastic deception attacks
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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