Classificação dinâmica de nós em redes em malha sem fio
| Ano de defesa: | 2014 |
|---|---|
| Autor(a) principal: |
Guedes, Diego Américo
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| Orientador(a): |
Cardoso, Kleber Vieira
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| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Não Informado pela instituição
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| Programa de Pós-Graduação: |
Programa de Pós-graduação em Ciência da Computação (INF)
|
| Departamento: |
Instituto de Informática - INF (RG)
|
| País: |
Brasil
|
| Palavras-chave em Português: | |
| Palavras-chave em Inglês: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | http://repositorio.bc.ufg.br/tede/handle/tede/3049 |
Resumo: | In this work we present and evaluate a modeling methodology that describes the creation of a topology for wireless mesh networks, and how this topology changes over time. The modeling methodology is based on network science, which is a multidisciplinary research area that has a lot of tools to help in the study and analysis of networks. In wireless mesh networks, the relative importance of the nodes is often related to the topological aspects, and data flow. However, due to the dynamics of the network, the relative importance of the nodes may vary in time. In the context of network science, the concept of centrality metric represents the relative importance of a node in the network. In this work we show also that the current centrality metrics are not able to rank properly the nodes in wireless mesh networks. Then we propose a new metric of centrality that ranks the most important nodes in a wireless mesh network over time. We evaluate our proposal using data from a case study of the proposed modeling methodology and also from real wireless mesh networks, achieving satisfactory performance. The characteristics of our metric make it a useful tool for monitoring dynamic networks. |
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Cardoso, Kleber Vieirahttp://lattes.cnpq.br/0268732896111424Ziviani, Arturhttp://lattes.cnpq.br/0472856771871140http://lattes.cnpq.br/1455013887760441Guedes, Diego Américo2014-09-11T11:50:01Z2014-09-11http://repositorio.bc.ufg.br/tede/handle/tede/3049In this work we present and evaluate a modeling methodology that describes the creation of a topology for wireless mesh networks, and how this topology changes over time. The modeling methodology is based on network science, which is a multidisciplinary research area that has a lot of tools to help in the study and analysis of networks. In wireless mesh networks, the relative importance of the nodes is often related to the topological aspects, and data flow. However, due to the dynamics of the network, the relative importance of the nodes may vary in time. In the context of network science, the concept of centrality metric represents the relative importance of a node in the network. In this work we show also that the current centrality metrics are not able to rank properly the nodes in wireless mesh networks. Then we propose a new metric of centrality that ranks the most important nodes in a wireless mesh network over time. We evaluate our proposal using data from a case study of the proposed modeling methodology and also from real wireless mesh networks, achieving satisfactory performance. The characteristics of our metric make it a useful tool for monitoring dynamic networks.Neste trabalho, apresentamos e avaliamos uma modelagem que descreve a criação de uma topologia para redes em malha sem fio e como essa se altera no tempo. A modelagem é baseada em ciência das redes (network science), uma área multidisciplinar de pesquisa que possui uma grande quantidade de ferramentas para auxiliar no estudo e análise de redes. Em redes em malha sem fio, a importância relativa dos nós é frequentemente relacionada a aspectos topológicos e ao fluxo de dados. Entretanto, devido à dinamicidade da rede, a importância relativa de um nó pode variar no tempo. No contexto de ciência de redes, o conceito de métricas de centralidade reflete a importância relativa de um nó na rede. Neste trabalho, mostramos também que as métricas atuais de centralidade não são capazes de classificar de maneira adequada os nós em redes em malha sem fio. Propomos então uma nova métrica de centralidade que classifica os nós mais importantes em uma rede em malha sem fio ao longo do tempo. Avaliamos nossa proposta com dados obtidos de um estudo de caso da modelagem proposta e de redes em malha sem fio reais, obtendo desempenho satisfatório. As características da nossa métrica a tornam uma ferramenta útil para monitoramento de redes dinâmicas.Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2014-09-11T11:50:01Z No. of bitstreams: 2 Dissertacao Diego Americo Guedes.pdf: 971567 bytes, checksum: a39a61e190ff600e318da0dd24eb108c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2014-09-11T11:50:01Z (GMT). No. of bitstreams: 2 Dissertacao Diego Americo Guedes.pdf: 971567 bytes, checksum: a39a61e190ff600e318da0dd24eb108c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfhttp://repositorio.bc.ufg.br/tede/retrieve/7486/Dissertacao%20Diego%20Americo%20Guedes.pdf.jpgpor[1] Localização dos nós na Athens Wireless Metropolitan Network. http://wind.awmn.net/?page=gmap , July 2013. 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| dc.title.por.fl_str_mv |
Classificação dinâmica de nós em redes em malha sem fio |
| title |
Classificação dinâmica de nós em redes em malha sem fio |
| spellingShingle |
Classificação dinâmica de nós em redes em malha sem fio Guedes, Diego Américo Ciência das Redes Redes Complexas Dinâmicas Métricas de Centralidade Redes em Malha Sem Fio Network Science Dynamic Complex Networks Centrality Metrics Wireless Mesh Networks CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| title_short |
Classificação dinâmica de nós em redes em malha sem fio |
| title_full |
Classificação dinâmica de nós em redes em malha sem fio |
| title_fullStr |
Classificação dinâmica de nós em redes em malha sem fio |
| title_full_unstemmed |
Classificação dinâmica de nós em redes em malha sem fio |
| title_sort |
Classificação dinâmica de nós em redes em malha sem fio |
| author |
Guedes, Diego Américo |
| author_facet |
Guedes, Diego Américo |
| author_role |
author |
| dc.contributor.advisor1.fl_str_mv |
Cardoso, Kleber Vieira |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0268732896111424 |
| dc.contributor.advisor-co1.fl_str_mv |
Ziviani, Artur |
| dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/0472856771871140 |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1455013887760441 |
| dc.contributor.author.fl_str_mv |
Guedes, Diego Américo |
| contributor_str_mv |
Cardoso, Kleber Vieira Ziviani, Artur |
| dc.subject.por.fl_str_mv |
Ciência das Redes Redes Complexas Dinâmicas Métricas de Centralidade Redes em Malha Sem Fio |
| topic |
Ciência das Redes Redes Complexas Dinâmicas Métricas de Centralidade Redes em Malha Sem Fio Network Science Dynamic Complex Networks Centrality Metrics Wireless Mesh Networks CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| dc.subject.eng.fl_str_mv |
Network Science Dynamic Complex Networks Centrality Metrics Wireless Mesh Networks |
| dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
| description |
In this work we present and evaluate a modeling methodology that describes the creation of a topology for wireless mesh networks, and how this topology changes over time. The modeling methodology is based on network science, which is a multidisciplinary research area that has a lot of tools to help in the study and analysis of networks. In wireless mesh networks, the relative importance of the nodes is often related to the topological aspects, and data flow. However, due to the dynamics of the network, the relative importance of the nodes may vary in time. In the context of network science, the concept of centrality metric represents the relative importance of a node in the network. In this work we show also that the current centrality metrics are not able to rank properly the nodes in wireless mesh networks. Then we propose a new metric of centrality that ranks the most important nodes in a wireless mesh network over time. We evaluate our proposal using data from a case study of the proposed modeling methodology and also from real wireless mesh networks, achieving satisfactory performance. The characteristics of our metric make it a useful tool for monitoring dynamic networks. |
| publishDate |
2014 |
| dc.date.accessioned.fl_str_mv |
2014-09-11T11:50:01Z |
| dc.date.issued.fl_str_mv |
2014-09-11 |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
| format |
masterThesis |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/3049 |
| url |
http://repositorio.bc.ufg.br/tede/handle/tede/3049 |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.relation.program.fl_str_mv |
-3303550325223384799 |
| dc.relation.confidence.fl_str_mv |
600 600 600 600 |
| dc.relation.department.fl_str_mv |
-7712266734633644768 |
| dc.relation.cnpq.fl_str_mv |
3671711205811204509 |
| dc.relation.sponsorship.fl_str_mv |
2075167498588264571 |
| dc.relation.references.por.fl_str_mv |
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