Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , |
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. |
id |
UFLA-5_4fe2e5a6cb95f9301c4a6d981462aa50 |
---|---|
oai_identifier_str |
oai:infocomp.dcc.ufla.br:article/368 |
network_acronym_str |
UFLA-5 |
network_name_str |
INFOCOMP: Jornal de Ciência da Computação |
repository_id_str |
|
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 |
_version_ |
1799874741424619520 |