Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks

Detalhes bibliográficos
Autor(a) principal: Osamy, Walid
Data de Publicação: 2013
Outros Autores: Salim, Ahmed, Aziz, Ahmed
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/368
Resumo: Energy consumption and prolonging network lifetime are a primary challenge in many studies on Wireless Sensor Networks (WSN). Thus, since radio communication and routing protocol transmission are in general the main cause of power consumption, different techniques proposed in literature to improve energy efficiency have mainly focused on limiting transmission/reception of data. To this aim, we propose an adaptive and efficient technique based on compressive sensing for improving the performance of routing in wireless sensor network. The performance of our technique is evaluated by applying it to PEGASIS (power efficient gathering in sensor information systems), which is oneof the most popular protocols for routing in wireless sensor network. A comparison of PEGASIS and PEGASIS with Huffman coding shows the advantage of the proposed technique in terms of reducing the energy consumption and network lifetime.
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spelling Efficient Compressive Sensing based Technique for Routing in Wireless Sensor NetworksWireless sensor networksCompressive SensingRouting.Energy consumption and prolonging network lifetime are a primary challenge in many studies on Wireless Sensor Networks (WSN). Thus, since radio communication and routing protocol transmission are in general the main cause of power consumption, different techniques proposed in literature to improve energy efficiency have mainly focused on limiting transmission/reception of data. To this aim, we propose an adaptive and efficient technique based on compressive sensing for improving the performance of routing in wireless sensor network. The performance of our technique is evaluated by applying it to PEGASIS (power efficient gathering in sensor information systems), which is oneof the most popular protocols for routing in wireless sensor network. A comparison of PEGASIS and PEGASIS with Huffman coding shows the advantage of the proposed technique in terms of reducing the energy consumption and network lifetime.Editora da UFLA2013-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/368INFOCOMP Journal of Computer Science; Vol. 12 No. 1 (2013): June, 2013; 1-91982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/368/352Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessOsamy, WalidSalim, AhmedAziz, Ahmed2015-07-29T16:46:22Zoai:infocomp.dcc.ufla.br:article/368Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:34.767642INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
title Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
spellingShingle Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
Osamy, Walid
Wireless sensor networks
Compressive Sensing
Routing.
title_short Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
title_full Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
title_fullStr Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
title_full_unstemmed Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
title_sort Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
author Osamy, Walid
author_facet Osamy, Walid
Salim, Ahmed
Aziz, Ahmed
author_role author
author2 Salim, Ahmed
Aziz, Ahmed
author2_role author
author
dc.contributor.author.fl_str_mv Osamy, Walid
Salim, Ahmed
Aziz, Ahmed
dc.subject.por.fl_str_mv Wireless sensor networks
Compressive Sensing
Routing.
topic Wireless sensor networks
Compressive Sensing
Routing.
description Energy consumption and prolonging network lifetime are a primary challenge in many studies on Wireless Sensor Networks (WSN). Thus, since radio communication and routing protocol transmission are in general the main cause of power consumption, different techniques proposed in literature to improve energy efficiency have mainly focused on limiting transmission/reception of data. To this aim, we propose an adaptive and efficient technique based on compressive sensing for improving the performance of routing in wireless sensor network. The performance of our technique is evaluated by applying it to PEGASIS (power efficient gathering in sensor information systems), which is oneof the most popular protocols for routing in wireless sensor network. A comparison of PEGASIS and PEGASIS with Huffman coding shows the advantage of the proposed technique in terms of reducing the energy consumption and network lifetime.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/368
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/368
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/368/352
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 12 No. 1 (2013): June, 2013; 1-9
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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