A wavelet-based sampling algorithm for wireless sensor networks applications.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorAquino, André Luiz Lins de-
Autor(es): dc.creatorOliveira, Ricardo Augusto Rabelo de-
Autor(es): dc.creatorWanner, Elizabeth Fialho-
Data de aceite: dc.date.accessioned2019-11-06T13:24:36Z-
Data de disponibilização: dc.date.available2019-11-06T13:24:36Z-
Data de envio: dc.date.issued2012-08-02-
Data de envio: dc.date.issued2012-08-02-
Data de envio: dc.date.issued2010-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/123456789/1228-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/554784-
Descrição: dc.descriptionThis work proposes and evaluates a sampling algorithm based on wavelet transforms with Coiflets basis to reduce the data sensed in wireless sensor networks applications. The Coiflets basis is more computationally efficient when data are smooth, which means that, data are well approximated by a polynomial function. As expected, this algorithm reduces the data traffic in wireless sensor network and, consequently, decreases the energy consumption and the de-lay to delivery the sensed information. The main contribution of this algorithm is the capability to detect some event by adjusting the sampling dynamically. In order to evaluate the algorithm, we compare it with a static sampling strategy considering a real sens-ing data where an external event is simulated. The results reveal the efficiency of the proposed method by reducing the data with-out loosing its representativeness, including when some event oc-curs. This algorithm can be very useful to design energy-efficient and time-constrained sensor networks when it is necessary to detect some event.-
Idioma: dc.languageen-
Palavras-chave: dc.subjectWalvelets-
Palavras-chave: dc.subjectSampling algorithms-
Palavras-chave: dc.subjectWireless sensor network-
Título: dc.titleA wavelet-based sampling algorithm for wireless sensor networks applications.-
Aparece nas coleções:Repositório Institucional - UFOP

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