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Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks
This paper is concerned with the distributed full- and reduced-order [Formula: see text]- [Formula: see text] state estimation issue for a class of discrete time-invariant systems subjected to both randomly occurring switching topologies and deception attacks over wireless sensor networks. Firstly,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181283/ https://www.ncbi.nlm.nih.gov/pubmed/32244323 http://dx.doi.org/10.3390/s20071948 |
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author | Zhu, Fengzeng Liu, Xu Wen, Jiwei Xie, Linbo Peng, Li |
author_facet | Zhu, Fengzeng Liu, Xu Wen, Jiwei Xie, Linbo Peng, Li |
author_sort | Zhu, Fengzeng |
collection | PubMed |
description | This paper is concerned with the distributed full- and reduced-order [Formula: see text]- [Formula: see text] state estimation issue for a class of discrete time-invariant systems subjected to both randomly occurring switching topologies and deception attacks over wireless sensor networks. Firstly, a switching topology model is proposed which uses homogeneous Markov chain to reflect the change of filtering networks communication modes. Then, the sector-bound deception attacks among the communication channels are taken into consideration, which could better characterize the filtering network communication security. Additionally, a random variable obeying the Bernoulli distribution is used to describe the phenomenon of the randomly occurring deception attacks. Furthermore, through an adjustable parameter E, we can obtain full- and reduced-order [Formula: see text]- [Formula: see text] state estimator over sensor networks, respectively. Sufficient conditions are established for the solvability of the addressed switching topology-dependent distributed filtering design in terms of certain convex optimization problem. The purpose of solving the problem is to design a distributed full- and reduced-order filter such that, in the presence of deception attacks, stochastic external interference and switching topologies, the resulting filtering dynamic system is exponentially mean-square stable with prescribed [Formula: see text]- [Formula: see text] performance index. Finally, a simulation example is provided to show the effectiveness and flexibility of the designed approach. |
format | Online Article Text |
id | pubmed-7181283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71812832020-04-28 Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks Zhu, Fengzeng Liu, Xu Wen, Jiwei Xie, Linbo Peng, Li Sensors (Basel) Article This paper is concerned with the distributed full- and reduced-order [Formula: see text]- [Formula: see text] state estimation issue for a class of discrete time-invariant systems subjected to both randomly occurring switching topologies and deception attacks over wireless sensor networks. Firstly, a switching topology model is proposed which uses homogeneous Markov chain to reflect the change of filtering networks communication modes. Then, the sector-bound deception attacks among the communication channels are taken into consideration, which could better characterize the filtering network communication security. Additionally, a random variable obeying the Bernoulli distribution is used to describe the phenomenon of the randomly occurring deception attacks. Furthermore, through an adjustable parameter E, we can obtain full- and reduced-order [Formula: see text]- [Formula: see text] state estimator over sensor networks, respectively. Sufficient conditions are established for the solvability of the addressed switching topology-dependent distributed filtering design in terms of certain convex optimization problem. The purpose of solving the problem is to design a distributed full- and reduced-order filter such that, in the presence of deception attacks, stochastic external interference and switching topologies, the resulting filtering dynamic system is exponentially mean-square stable with prescribed [Formula: see text]- [Formula: see text] performance index. Finally, a simulation example is provided to show the effectiveness and flexibility of the designed approach. MDPI 2020-03-31 /pmc/articles/PMC7181283/ /pubmed/32244323 http://dx.doi.org/10.3390/s20071948 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Fengzeng Liu, Xu Wen, Jiwei Xie, Linbo Peng, Li Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks |
title | Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks |
title_full | Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks |
title_fullStr | Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks |
title_full_unstemmed | Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks |
title_short | Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks |
title_sort | distributed robust filtering for wireless sensor networks with markov switching topologies and deception attacks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181283/ https://www.ncbi.nlm.nih.gov/pubmed/32244323 http://dx.doi.org/10.3390/s20071948 |
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