Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks
Autor(a) principal: | |
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Data de Publicação: | 2009 |
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/266 |
Resumo: | Typically, a wireless sensor network contains an important number of inexpensive power constrained sensors which collect data from the environment and transmit them towards the base station in a cooperative way. Saving energy and therefore, extending the wireless sensor networks lifetime, imposes a great challenge. Many new protocols are specifically designed for these raisons where energy awareness is an essential consideration. The clustering techniques are largely used for these purposes. In this paper, we present and evaluate a Stochastic and Balanced Developed Distributed Energy-Efficient Clustering (SBDEEC) scheme for heterogeneous wireless sensor networks. This protocol is based on dividing the network into dynamic clusters. The cluster’s nodes communicate with an elected node called cluster head, and then the cluster heads communicate the information to the base station. SBDEEC introduces a balanced and dynamic method where the cluster head election probability is more efficient. Moreover, it uses a stochastic scheme detection to extend the network lifetime. Simulation results show that our protocol performs better than the Stable Election Protocol (SEP) and than the Distributed EnergyEfficient Clustering (DEEC) in terms of network lifetime. In the proposed protocol the first node death occurs over 90% times longer than the first node death in DEEC protocol and by about 130% than SEP. |
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Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor NetworksEnergy ConsumptionDEECClusteringWireless Sensor NetworksHeterogeneous environmentTypically, a wireless sensor network contains an important number of inexpensive power constrained sensors which collect data from the environment and transmit them towards the base station in a cooperative way. Saving energy and therefore, extending the wireless sensor networks lifetime, imposes a great challenge. Many new protocols are specifically designed for these raisons where energy awareness is an essential consideration. The clustering techniques are largely used for these purposes. In this paper, we present and evaluate a Stochastic and Balanced Developed Distributed Energy-Efficient Clustering (SBDEEC) scheme for heterogeneous wireless sensor networks. This protocol is based on dividing the network into dynamic clusters. The cluster’s nodes communicate with an elected node called cluster head, and then the cluster heads communicate the information to the base station. SBDEEC introduces a balanced and dynamic method where the cluster head election probability is more efficient. Moreover, it uses a stochastic scheme detection to extend the network lifetime. Simulation results show that our protocol performs better than the Stable Election Protocol (SEP) and than the Distributed EnergyEfficient Clustering (DEEC) in terms of network lifetime. In the proposed protocol the first node death occurs over 90% times longer than the first node death in DEEC protocol and by about 130% than SEP.Editora da UFLA2009-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/266INFOCOMP Journal of Computer Science; Vol. 8 No. 3 (2009): September, 2009; 11-201982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/266/251Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessBrahim, ElbhuruRachid, SaadaneZamora, Alba-PagèsAboutajdine, Driss2015-07-22T18:07:56Zoai:infocomp.dcc.ufla.br:article/266Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:28.465951INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
title |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
spellingShingle |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks Brahim, Elbhuru Energy Consumption DEEC Clustering Wireless Sensor Networks Heterogeneous environment |
title_short |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
title_full |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
title_fullStr |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
title_full_unstemmed |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
title_sort |
Stochastic and Balanced Distributed Energy-Efficient Clustering (SBDEEC) for Heterogeneous Wireless Sensor Networks |
author |
Brahim, Elbhuru |
author_facet |
Brahim, Elbhuru Rachid, Saadane Zamora, Alba-Pagès Aboutajdine, Driss |
author_role |
author |
author2 |
Rachid, Saadane Zamora, Alba-Pagès Aboutajdine, Driss |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Brahim, Elbhuru Rachid, Saadane Zamora, Alba-Pagès Aboutajdine, Driss |
dc.subject.por.fl_str_mv |
Energy Consumption DEEC Clustering Wireless Sensor Networks Heterogeneous environment |
topic |
Energy Consumption DEEC Clustering Wireless Sensor Networks Heterogeneous environment |
description |
Typically, a wireless sensor network contains an important number of inexpensive power constrained sensors which collect data from the environment and transmit them towards the base station in a cooperative way. Saving energy and therefore, extending the wireless sensor networks lifetime, imposes a great challenge. Many new protocols are specifically designed for these raisons where energy awareness is an essential consideration. The clustering techniques are largely used for these purposes. In this paper, we present and evaluate a Stochastic and Balanced Developed Distributed Energy-Efficient Clustering (SBDEEC) scheme for heterogeneous wireless sensor networks. This protocol is based on dividing the network into dynamic clusters. The cluster’s nodes communicate with an elected node called cluster head, and then the cluster heads communicate the information to the base station. SBDEEC introduces a balanced and dynamic method where the cluster head election probability is more efficient. Moreover, it uses a stochastic scheme detection to extend the network lifetime. Simulation results show that our protocol performs better than the Stable Election Protocol (SEP) and than the Distributed EnergyEfficient Clustering (DEEC) in terms of network lifetime. In the proposed protocol the first node death occurs over 90% times longer than the first node death in DEEC protocol and by about 130% than SEP. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-09-01 |
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/266 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/266 |
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/266/251 |
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. 8 No. 3 (2009): September, 2009; 11-20 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_ |
1799874740889845760 |