A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes

Autores
Julian, Pedro Marcelo; Andreou, Andreas; Riddle, Larry; Shamma, Shihab; Goldberg, David H.; Cauwenberghs, Gert
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Sound localization using energy-aware hardware for sensor networks nodes is a problem with many applications in surveillance and security. In this paper, we evaluate four algorithms for sound localization using signals recorded in a natural environment with an array of commercial off-the-shelf microelectromechanical systems microphones and a specially designed compact acoustic enclosure. We evaluate performance of the algorithms and their hardware complexity which relates directly to energy consumption.
Fil: Julian, Pedro Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. The Johns Hopkins University; Estados Unidos. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
Fil: Andreou, Andreas. The Johns Hopkins University; Estados Unidos
Fil: Riddle, Larry. Signal Systems Corporation; Estados Unidos
Fil: Shamma, Shihab. University of Maryland; Estados Unidos
Fil: Goldberg, David H.. The Johns Hopkins University; Estados Unidos
Fil: Cauwenberghs, Gert. The Johns Hopkins University; Estados Unidos
Materia
Direction of arrival estimation
Intelligent sensors
Networks
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/104551
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network NodesJulian, Pedro MarceloAndreou, AndreasRiddle, LarryShamma, ShihabGoldberg, David H.Cauwenberghs, GertDirection of arrival estimationIntelligent sensorsNetworkshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Sound localization using energy-aware hardware for sensor networks nodes is a problem with many applications in surveillance and security. In this paper, we evaluate four algorithms for sound localization using signals recorded in a natural environment with an array of commercial off-the-shelf microelectromechanical systems microphones and a specially designed compact acoustic enclosure. We evaluate performance of the algorithms and their hardware complexity which relates directly to energy consumption.Fil: Julian, Pedro Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. The Johns Hopkins University; Estados Unidos. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; ArgentinaFil: Andreou, Andreas. The Johns Hopkins University; Estados UnidosFil: Riddle, Larry. Signal Systems Corporation; Estados UnidosFil: Shamma, Shihab. University of Maryland; Estados UnidosFil: Goldberg, David H.. The Johns Hopkins University; Estados UnidosFil: Cauwenberghs, Gert. The Johns Hopkins University; Estados UnidosInstitute of Electrical and Electronics Engineers2004-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/104551Julian, Pedro Marcelo; Andreou, Andreas; Riddle, Larry; Shamma, Shihab; Goldberg, David H.; et al.; A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes; Institute of Electrical and Electronics Engineers; Ieee Transactions On Circuits And Systems I-fundamental Theory And Applications; 51; 4; 4-2004; 640-6481057-7122CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/1284739info:eu-repo/semantics/altIdentifier/doi/10.1109/TCSI.2004.826205info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:05:36Zoai:ri.conicet.gov.ar:11336/104551instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:05:37.206CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
title A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
spellingShingle A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
Julian, Pedro Marcelo
Direction of arrival estimation
Intelligent sensors
Networks
title_short A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
title_full A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
title_fullStr A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
title_full_unstemmed A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
title_sort A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes
dc.creator.none.fl_str_mv Julian, Pedro Marcelo
Andreou, Andreas
Riddle, Larry
Shamma, Shihab
Goldberg, David H.
Cauwenberghs, Gert
author Julian, Pedro Marcelo
author_facet Julian, Pedro Marcelo
Andreou, Andreas
Riddle, Larry
Shamma, Shihab
Goldberg, David H.
Cauwenberghs, Gert
author_role author
author2 Andreou, Andreas
Riddle, Larry
Shamma, Shihab
Goldberg, David H.
Cauwenberghs, Gert
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Direction of arrival estimation
Intelligent sensors
Networks
topic Direction of arrival estimation
Intelligent sensors
Networks
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Sound localization using energy-aware hardware for sensor networks nodes is a problem with many applications in surveillance and security. In this paper, we evaluate four algorithms for sound localization using signals recorded in a natural environment with an array of commercial off-the-shelf microelectromechanical systems microphones and a specially designed compact acoustic enclosure. We evaluate performance of the algorithms and their hardware complexity which relates directly to energy consumption.
Fil: Julian, Pedro Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. The Johns Hopkins University; Estados Unidos. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
Fil: Andreou, Andreas. The Johns Hopkins University; Estados Unidos
Fil: Riddle, Larry. Signal Systems Corporation; Estados Unidos
Fil: Shamma, Shihab. University of Maryland; Estados Unidos
Fil: Goldberg, David H.. The Johns Hopkins University; Estados Unidos
Fil: Cauwenberghs, Gert. The Johns Hopkins University; Estados Unidos
description Sound localization using energy-aware hardware for sensor networks nodes is a problem with many applications in surveillance and security. In this paper, we evaluate four algorithms for sound localization using signals recorded in a natural environment with an array of commercial off-the-shelf microelectromechanical systems microphones and a specially designed compact acoustic enclosure. We evaluate performance of the algorithms and their hardware complexity which relates directly to energy consumption.
publishDate 2004
dc.date.none.fl_str_mv 2004-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/104551
Julian, Pedro Marcelo; Andreou, Andreas; Riddle, Larry; Shamma, Shihab; Goldberg, David H.; et al.; A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes; Institute of Electrical and Electronics Engineers; Ieee Transactions On Circuits And Systems I-fundamental Theory And Applications; 51; 4; 4-2004; 640-648
1057-7122
CONICET Digital
CONICET
url http://hdl.handle.net/11336/104551
identifier_str_mv Julian, Pedro Marcelo; Andreou, Andreas; Riddle, Larry; Shamma, Shihab; Goldberg, David H.; et al.; A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes; Institute of Electrical and Electronics Engineers; Ieee Transactions On Circuits And Systems I-fundamental Theory And Applications; 51; 4; 4-2004; 640-648
1057-7122
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/1284739
info:eu-repo/semantics/altIdentifier/doi/10.1109/TCSI.2004.826205
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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