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

Detalhes bibliográficos
Autor(a) principal: Aquino, André Luiz Lins de
Data de Publicação: 2010
Outros Autores: Oliveira, Ricardo Augusto Rabelo, Wanner, Elizabeth Fialho
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.
id UFOP_2fa60a068adb8aa69765a8a57076d136
oai_identifier_str oai:repositorio.ufop.br:123456789/1228
network_acronym_str UFOP
network_name_str Repositório Institucional da UFOP
repository_id_str 3233
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