Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting

Detalhes bibliográficos
Autor(a) principal: Rocha,F.G.C.
Data de Publicação: 2011
Outros Autores: Santos,C.B., Vieira,F.H.T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300007
Resumo: In this paper, we present an analysis of VoIP (Voice over IP) traffic and data transfer using PLC (PowerLine Communications) network. We propose a model based on MMFM (Markov Modulated Fluid Models) for data and VoIP traffic in PLC networks. Simulations and comparisons were carried out to verify the efficiency of the proposed traffic model over the Poisson and MMPP (Markov Modulated Poisson Process) models.
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spelling Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fittingMarkov ChainsMarkov Fluid ModelPLCVoIPHomeplugIn this paper, we present an analysis of VoIP (Voice over IP) traffic and data transfer using PLC (PowerLine Communications) network. We propose a model based on MMFM (Markov Modulated Fluid Models) for data and VoIP traffic in PLC networks. Simulations and comparisons were carried out to verify the efficiency of the proposed traffic model over the Poisson and MMPP (Markov Modulated Poisson Process) models.Sociedade Brasileira de Matemática Aplicada e Computacional2011-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300007TEMA (São Carlos) v.12 n.3 2011reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2011.012.03.0233info:eu-repo/semantics/openAccessRocha,F.G.C.Santos,C.B.Vieira,F.H.T.eng2012-10-05T00:00:00Zoai:scielo:S2179-84512011000300007Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2012-10-05T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
title Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
spellingShingle Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
Rocha,F.G.C.
Markov Chains
Markov Fluid Model
PLC
VoIP
Homeplug
title_short Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
title_full Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
title_fullStr Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
title_full_unstemmed Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
title_sort Traffic modeling in PLC networks using a Markov Fluid Model with autocorrelation function fitting
author Rocha,F.G.C.
author_facet Rocha,F.G.C.
Santos,C.B.
Vieira,F.H.T.
author_role author
author2 Santos,C.B.
Vieira,F.H.T.
author2_role author
author
dc.contributor.author.fl_str_mv Rocha,F.G.C.
Santos,C.B.
Vieira,F.H.T.
dc.subject.por.fl_str_mv Markov Chains
Markov Fluid Model
PLC
VoIP
Homeplug
topic Markov Chains
Markov Fluid Model
PLC
VoIP
Homeplug
description In this paper, we present an analysis of VoIP (Voice over IP) traffic and data transfer using PLC (PowerLine Communications) network. We propose a model based on MMFM (Markov Modulated Fluid Models) for data and VoIP traffic in PLC networks. Simulations and comparisons were carried out to verify the efficiency of the proposed traffic model over the Poisson and MMPP (Markov Modulated Poisson Process) models.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512011000300007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2011.012.03.0233
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.12 n.3 2011
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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