Multivariate reduction in wireless sensor networks.

Detalhes bibliográficos
Autor(a) principal: Silva Junior, Orlando
Data de Publicação: 2009
Outros Autores: Aquino, André Luiz Lins de, Mini, Raquel Aparecida de Freitas, Figueiredo, Carlos Maurício Seródio
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UFOP
Texto Completo: http://www.repositorio.ufop.br/handle/123456789/1232
Resumo: In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. This work proposes an algorithm based on "Principal Component Analysis "to perform multivariate data reduction. It is considered air quality monitoring scenario as case study. The results show that, using the proposed technique, we can reduce the data sent preserving its representativeness. Moreover, we show that the energy consumption and delay are reduced proportionally to the amount of reduced data
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spelling Silva Junior, OrlandoAquino, André Luiz Lins deMini, Raquel Aparecida de FreitasFigueiredo, Carlos Maurício Seródio2012-08-02T18:53:33Z2012-08-02T18:53:33Z2009SILVA JUNIOR, O. et al. Multivariate reduction in wireless sensor networks. In: IEEE Symposium on Computers and Comunications. 2009. Sousse. Anais... Washington: IEEE Computer Society, 2009. p.726-729. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202248>. Acesso em: 02 ago. 2012.http://www.repositorio.ufop.br/handle/123456789/1232In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. This work proposes an algorithm based on "Principal Component Analysis "to perform multivariate data reduction. It is considered air quality monitoring scenario as case study. The results show that, using the proposed technique, we can reduce the data sent preserving its representativeness. Moreover, we show that the energy consumption and delay are reduced proportionally to the amount of reduced dataMultivariate reduction in wireless sensor networks.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://www.repositorio.ufop.br/bitstream/123456789/1232/5/license.txt8a4605be74aa9ea9d79846c1fba20a33MD55ORIGINALEVENTO_MultivariateReductionWireless.pdfEVENTO_MultivariateReductionWireless.pdfapplication/pdf1358831http://www.repositorio.ufop.br/bitstream/123456789/1232/1/EVENTO_MultivariateReductionWireless.pdf5f70efb0e753c657749ed66b21afc15cMD51123456789/12322019-02-28 11:10:31.496oai:localhost: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Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332019-02-28T16:10:31Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.pt_BR.fl_str_mv Multivariate reduction in wireless sensor networks.
title Multivariate reduction in wireless sensor networks.
spellingShingle Multivariate reduction in wireless sensor networks.
Silva Junior, Orlando
title_short Multivariate reduction in wireless sensor networks.
title_full Multivariate reduction in wireless sensor networks.
title_fullStr Multivariate reduction in wireless sensor networks.
title_full_unstemmed Multivariate reduction in wireless sensor networks.
title_sort Multivariate reduction in wireless sensor networks.
author Silva Junior, Orlando
author_facet Silva Junior, Orlando
Aquino, André Luiz Lins de
Mini, Raquel Aparecida de Freitas
Figueiredo, Carlos Maurício Seródio
author_role author
author2 Aquino, André Luiz Lins de
Mini, Raquel Aparecida de Freitas
Figueiredo, Carlos Maurício Seródio
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva Junior, Orlando
Aquino, André Luiz Lins de
Mini, Raquel Aparecida de Freitas
Figueiredo, Carlos Maurício Seródio
description In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. This work proposes an algorithm based on "Principal Component Analysis "to perform multivariate data reduction. It is considered air quality monitoring scenario as case study. The results show that, using the proposed technique, we can reduce the data sent preserving its representativeness. Moreover, we show that the energy consumption and delay are reduced proportionally to the amount of reduced data
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2012-08-02T18:53:33Z
dc.date.available.fl_str_mv 2012-08-02T18:53:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.citation.fl_str_mv SILVA JUNIOR, O. et al. Multivariate reduction in wireless sensor networks. In: IEEE Symposium on Computers and Comunications. 2009. Sousse. Anais... Washington: IEEE Computer Society, 2009. p.726-729. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202248>. Acesso em: 02 ago. 2012.
dc.identifier.uri.fl_str_mv http://www.repositorio.ufop.br/handle/123456789/1232
identifier_str_mv SILVA JUNIOR, O. et al. Multivariate reduction in wireless sensor networks. In: IEEE Symposium on Computers and Comunications. 2009. Sousse. Anais... Washington: IEEE Computer Society, 2009. p.726-729. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202248>. Acesso em: 02 ago. 2012.
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