A wavelet-based sampling algorithm for wireless sensor networks applications.
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/1228 |
Resumo: | This 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. |
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Repositório Institucional da UFOP |
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spelling |
A wavelet-based sampling algorithm for wireless sensor networks applications.WalveletsSampling algorithmsWireless sensor networkThis 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.2012-08-02T16:58:12Z2012-08-02T16:58:12Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfAQUINO, A. L. L. de ; OLIVEIRA, R. A. R.; WANNER, E. F. A wavelet-based sampling algorithm for wireless sensor networks applications. In: 25th ACM Symposium on Applied Computing (SAC 2010), 25., 2010. Switzerland. Anais...Switzerland: 25th ACM Symposium on Applied computing, 2010. p.1-5. Disponível em: http://homepages.dcc.ufmg.br/~alla/sac_10.pdf. Acesso em 01/08/2012.http://www.repositorio.ufop.br/handle/123456789/1228Aquino, André Luiz Lins deOliveira, Ricardo Augusto RabeloWanner, Elizabeth Fialhoengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPinfo:eu-repo/semantics/openAccess2024-11-10T15:53:55Zoai:repositorio.ufop.br:123456789/1228Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332024-11-10T15:53:55Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.none.fl_str_mv |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
title |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
spellingShingle |
A wavelet-based sampling algorithm for wireless sensor networks applications. Aquino, André Luiz Lins de Walvelets Sampling algorithms Wireless sensor network |
title_short |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
title_full |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
title_fullStr |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
title_full_unstemmed |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
title_sort |
A wavelet-based sampling algorithm for wireless sensor networks applications. |
author |
Aquino, André Luiz Lins de |
author_facet |
Aquino, André Luiz Lins de Oliveira, Ricardo Augusto Rabelo Wanner, Elizabeth Fialho |
author_role |
author |
author2 |
Oliveira, Ricardo Augusto Rabelo Wanner, Elizabeth Fialho |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Aquino, André Luiz Lins de Oliveira, Ricardo Augusto Rabelo Wanner, Elizabeth Fialho |
dc.subject.por.fl_str_mv |
Walvelets Sampling algorithms Wireless sensor network |
topic |
Walvelets Sampling algorithms Wireless sensor network |
description |
This 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. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010 2012-08-02T16:58:12Z 2012-08-02T16:58:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
AQUINO, A. L. L. de ; OLIVEIRA, R. A. R.; WANNER, E. F. A wavelet-based sampling algorithm for wireless sensor networks applications. In: 25th ACM Symposium on Applied Computing (SAC 2010), 25., 2010. Switzerland. Anais...Switzerland: 25th ACM Symposium on Applied computing, 2010. p.1-5. Disponível em: http://homepages.dcc.ufmg.br/~alla/sac_10.pdf. Acesso em 01/08/2012. http://www.repositorio.ufop.br/handle/123456789/1228 |
identifier_str_mv |
AQUINO, A. L. L. de ; OLIVEIRA, R. A. R.; WANNER, E. F. A wavelet-based sampling algorithm for wireless sensor networks applications. In: 25th ACM Symposium on Applied Computing (SAC 2010), 25., 2010. Switzerland. Anais...Switzerland: 25th ACM Symposium on Applied computing, 2010. p.1-5. Disponível em: http://homepages.dcc.ufmg.br/~alla/sac_10.pdf. Acesso em 01/08/2012. |
url |
http://www.repositorio.ufop.br/handle/123456789/1228 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFOP instname:Universidade Federal de Ouro Preto (UFOP) instacron:UFOP |
instname_str |
Universidade Federal de Ouro Preto (UFOP) |
instacron_str |
UFOP |
institution |
UFOP |
reponame_str |
Repositório Institucional da UFOP |
collection |
Repositório Institucional da UFOP |
repository.name.fl_str_mv |
Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP) |
repository.mail.fl_str_mv |
repositorio@ufop.edu.br |
_version_ |
1823329348237656064 |