Multivariate reduction in wireless sensor networks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva Junior, Orlando-
Autor(es): dc.creatorAquino, André Luiz Lins de-
Autor(es): dc.creatorMini, Raquel Aparecida de Freitas-
Autor(es): dc.creatorFigueiredo, Carlos Maurício Seródio-
Data de aceite: dc.date.accessioned2019-11-06T13:24:38Z-
Data de disponibilização: dc.date.available2019-11-06T13:24:38Z-
Data de envio: dc.date.issued2012-08-02-
Data de envio: dc.date.issued2012-08-02-
Data de envio: dc.date.issued2009-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/123456789/1232-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/554792-
Descrição: dc.descriptionIn 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-
Idioma: dc.languageen-
Título: dc.titleMultivariate reduction in wireless sensor networks-
Aparece nas coleções:Repositório Institucional - UFOP

Não existem arquivos associados a este item.