Event-driven field estimation for wireless sensor networks

Autores
Cunha, Daniel de Oliveira; Duarte, Otto Carlos M. B.; Pujolle, Guy
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper introduces and analyzes a field estimation scheme for wireless sensor networks. Our scheme imitates the response of living beings to the surrounding events. The sensors define their periphery of attention based on their own readings. Readings differing from the expected behavior are considered events of interest and trigger the data transmission to the sink. The presented scheme is evaluated with real-site-collected data and the tradeoff between the amount of data sent to the sink and the reconstruction error is analyzed. Results show that signifcant reduction in the data transmission and, as a consequence, in the energy consumption of the network is achievable while keeping low the average reconstruction error.
8th IFIP/IEEE International conference on Mobile and Wireless Communication
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Wireless communication
estimation scheme
energy consumption
data transmission
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24084

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oai_identifier_str oai:sedici.unlp.edu.ar:10915/24084
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spelling Event-driven field estimation for wireless sensor networksCunha, Daniel de OliveiraDuarte, Otto Carlos M. B.Pujolle, GuyCiencias InformáticasWireless communicationestimation schemeenergy consumptiondata transmissionThis paper introduces and analyzes a field estimation scheme for wireless sensor networks. Our scheme imitates the response of living beings to the surrounding events. The sensors define their periphery of attention based on their own readings. Readings differing from the expected behavior are considered events of interest and trigger the data transmission to the sink. The presented scheme is evaluated with real-site-collected data and the tradeoff between the amount of data sent to the sink and the reconstruction error is analyzed. Results show that signifcant reduction in the data transmission and, as a consequence, in the energy consumption of the network is achievable while keeping low the average reconstruction error.8th IFIP/IEEE International conference on Mobile and Wireless CommunicationRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24084enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34634-1info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:45Zoai:sedici.unlp.edu.ar:10915/24084Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:45.277SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Event-driven field estimation for wireless sensor networks
title Event-driven field estimation for wireless sensor networks
spellingShingle Event-driven field estimation for wireless sensor networks
Cunha, Daniel de Oliveira
Ciencias Informáticas
Wireless communication
estimation scheme
energy consumption
data transmission
title_short Event-driven field estimation for wireless sensor networks
title_full Event-driven field estimation for wireless sensor networks
title_fullStr Event-driven field estimation for wireless sensor networks
title_full_unstemmed Event-driven field estimation for wireless sensor networks
title_sort Event-driven field estimation for wireless sensor networks
dc.creator.none.fl_str_mv Cunha, Daniel de Oliveira
Duarte, Otto Carlos M. B.
Pujolle, Guy
author Cunha, Daniel de Oliveira
author_facet Cunha, Daniel de Oliveira
Duarte, Otto Carlos M. B.
Pujolle, Guy
author_role author
author2 Duarte, Otto Carlos M. B.
Pujolle, Guy
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Wireless communication
estimation scheme
energy consumption
data transmission
topic Ciencias Informáticas
Wireless communication
estimation scheme
energy consumption
data transmission
dc.description.none.fl_txt_mv This paper introduces and analyzes a field estimation scheme for wireless sensor networks. Our scheme imitates the response of living beings to the surrounding events. The sensors define their periphery of attention based on their own readings. Readings differing from the expected behavior are considered events of interest and trigger the data transmission to the sink. The presented scheme is evaluated with real-site-collected data and the tradeoff between the amount of data sent to the sink and the reconstruction error is analyzed. Results show that signifcant reduction in the data transmission and, as a consequence, in the energy consumption of the network is achievable while keeping low the average reconstruction error.
8th IFIP/IEEE International conference on Mobile and Wireless Communication
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper introduces and analyzes a field estimation scheme for wireless sensor networks. Our scheme imitates the response of living beings to the surrounding events. The sensors define their periphery of attention based on their own readings. Readings differing from the expected behavior are considered events of interest and trigger the data transmission to the sink. The presented scheme is evaluated with real-site-collected data and the tradeoff between the amount of data sent to the sink and the reconstruction error is analyzed. Results show that signifcant reduction in the data transmission and, as a consequence, in the energy consumption of the network is achievable while keeping low the average reconstruction error.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24084
url http://sedici.unlp.edu.ar/handle/10915/24084
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34634-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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