Multi-sensor detection schemes using spatio-temporal models

This thesis is focused on multi-sensor event detection schemes in Wireless Sensor Network (WSN). In the WSN, sensors individually take their observations, do some initial local processing and then send the result to the fusion center. Apart from this information, the fusion center may have prior inf...

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Detalhes bibliográficos
Autor: Ali, Sadiq
Tipo de documento: tese
Estado:Versão publicada
Data de publicação:2014
País:España
Recursos:CBUC, CESCA
Repositório:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/134687
Acesso em linha:http://hdl.handle.net/10803/134687
Access Level:Acceso aberto
Palavra-chave:Tecnologies
621.3
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spelling Multi-sensor detection schemes using spatio-temporal modelsAli, SadiqTecnologies621.3This thesis is focused on multi-sensor event detection schemes in Wireless Sensor Network (WSN). In the WSN, sensors individually take their observations, do some initial local processing and then send the result to the fusion center. Apart from this information, the fusion center may have prior information such as the known positions of sensors, the topology of the network or structures, features and patterns present in the received observations. In order to achieve better detection performance, the fusion center must exploit all this prior information in the best possible way. Keeping this in mind, in this thesis we focus on the exploitation of available a-priori information with the aim of developing enhanced and robust detection mechanisms. For instance, we exploit the fact that in most applications, the signal emitted from the event becomes a local physical phenomenon that only a"ects a small subset of sensors. Moreover, the a"ected sensors will be located close to the event as well as close to each other in the form of a spatial cluster. Hence, novel detection schemes are presented with a two-fold motivation: !rst, the exploitation of the relevant set of sensors, which helps in rejecting the noise; second, to take advantage of the signal correlation by using a-priori information about the positions of sensors. Based on these results, we move one step further and concentrate on the exploitation of both spatial and temporal correlation in the received observations. In this case, we propose detection schemes that explore di"erent matrix structures embedded in the observed covariance matrix, which naturally arise due to the underlying topologies of the multiple sensors. Numerical results are presented for all of the proposed schemes that show important advantages compared to traditional schemes.Universitat Autònoma de BarcelonaLópez Salcedo, José AntonioSeco Granados, GonzaloUniversitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes201420142014info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion164 p.application/pdfapplication/pdfhttp://hdl.handle.net/10803/134687TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésADVERTIMENT. L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/1346872026-06-14T12:46:07Z
dc.title.none.fl_str_mv Multi-sensor detection schemes using spatio-temporal models
title Multi-sensor detection schemes using spatio-temporal models
spellingShingle Multi-sensor detection schemes using spatio-temporal models
Ali, Sadiq
Tecnologies
621.3
title_short Multi-sensor detection schemes using spatio-temporal models
title_full Multi-sensor detection schemes using spatio-temporal models
title_fullStr Multi-sensor detection schemes using spatio-temporal models
title_full_unstemmed Multi-sensor detection schemes using spatio-temporal models
title_sort Multi-sensor detection schemes using spatio-temporal models
dc.creator.none.fl_str_mv Ali, Sadiq
author Ali, Sadiq
author_facet Ali, Sadiq
author_role author
dc.contributor.none.fl_str_mv López Salcedo, José Antonio
Seco Granados, Gonzalo
Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes
dc.subject.none.fl_str_mv Tecnologies
621.3
topic Tecnologies
621.3
description This thesis is focused on multi-sensor event detection schemes in Wireless Sensor Network (WSN). In the WSN, sensors individually take their observations, do some initial local processing and then send the result to the fusion center. Apart from this information, the fusion center may have prior information such as the known positions of sensors, the topology of the network or structures, features and patterns present in the received observations. In order to achieve better detection performance, the fusion center must exploit all this prior information in the best possible way. Keeping this in mind, in this thesis we focus on the exploitation of available a-priori information with the aim of developing enhanced and robust detection mechanisms. For instance, we exploit the fact that in most applications, the signal emitted from the event becomes a local physical phenomenon that only a"ects a small subset of sensors. Moreover, the a"ected sensors will be located close to the event as well as close to each other in the form of a spatial cluster. Hence, novel detection schemes are presented with a two-fold motivation: !rst, the exploitation of the relevant set of sensors, which helps in rejecting the noise; second, to take advantage of the signal correlation by using a-priori information about the positions of sensors. Based on these results, we move one step further and concentrate on the exploitation of both spatial and temporal correlation in the received observations. In this case, we propose detection schemes that explore di"erent matrix structures embedded in the observed covariance matrix, which naturally arise due to the underlying topologies of the multiple sensors. Numerical results are presented for all of the proposed schemes that show important advantages compared to traditional schemes.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014
2014
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10803/134687
url http://hdl.handle.net/10803/134687
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 164 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Autònoma de Barcelona
publisher.none.fl_str_mv Universitat Autònoma de Barcelona
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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