Modelo de otimização multiobjetivo para roteamento em redes sem fio
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/7813 |
Resumo: | Owing to the huge range of application scenarios for wireless networks, new prospects for the current and future applications of the Internet, making new communication paradigms such as the Internet of Things (IoT) and 5G networks. Two important networks are included in this scenery: Wireless Sensor Networks (WSN) provide key devices for developing the IoT communication paradigm, such as the sensors used for collecting different kind of information, and the Wireless Mesh Network (WMN) that enable interoperability between heterogeneous network, covering large areas with at am low cost.Eeach one these networks have specific characteristics, for example, the WSN has serious restrictions (e.g. power consumption, low speed wireless links, interference) while the WMN offers high data rates through multiple radios and channels. In this context, it is necessary to find solutions that can ensure more efficient communication system based on the optimized utilization of the network resources. So it was created a multi-objective routing algorithm, called Routing-Aware of path Length, Link quality, and traffic Load (RALL). This seeks to strike a balance between three objectives: to minimize the network bottlenecks, to reduce path length, and to avoid links with low quality, for resolution the routing problem for WSN, Then the RALL approach was adapted to match the specialty of the WMN, entitled Routing Aware of path Length, Link quality, and traffic Load Weighted (RALLW). The results indicate that combining multiple objectives when performing routing can benefit networks performance. The RALL and RALLW results in a good performance with regard to the delivery rate, throughput, delay, and power consumption when compared to other approaches, however the RALLW approach did not significant differences when compared to the RALL. |
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Borges, Vinicius da Cunha Martinshttp://lattes.cnpq.br/6904676677900593Silvestre, Bruno Oliveirahttp://lattes.cnpq.br/9449437915418534Borges, Vinicius da Cunha MartinsSilvestre, Bruno OliveiraSoares, Telma Woerle de LimaCerqueira, Eduardo Coelhohttp://lattes.cnpq.br/2919046250727833Medeiros, Vinícius Nunes2017-10-02T12:58:17Z2017-09-01MEDEIROS, Vinícius Nunes. Modelo de otimização multiobjetivo para roteamento em redes sem fio. 2017. 104 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2017.http://repositorio.bc.ufg.br/tede/handle/tede/7813ark:/38995/0013000009000Owing to the huge range of application scenarios for wireless networks, new prospects for the current and future applications of the Internet, making new communication paradigms such as the Internet of Things (IoT) and 5G networks. Two important networks are included in this scenery: Wireless Sensor Networks (WSN) provide key devices for developing the IoT communication paradigm, such as the sensors used for collecting different kind of information, and the Wireless Mesh Network (WMN) that enable interoperability between heterogeneous network, covering large areas with at am low cost.Eeach one these networks have specific characteristics, for example, the WSN has serious restrictions (e.g. power consumption, low speed wireless links, interference) while the WMN offers high data rates through multiple radios and channels. In this context, it is necessary to find solutions that can ensure more efficient communication system based on the optimized utilization of the network resources. So it was created a multi-objective routing algorithm, called Routing-Aware of path Length, Link quality, and traffic Load (RALL). This seeks to strike a balance between three objectives: to minimize the network bottlenecks, to reduce path length, and to avoid links with low quality, for resolution the routing problem for WSN, Then the RALL approach was adapted to match the specialty of the WMN, entitled Routing Aware of path Length, Link quality, and traffic Load Weighted (RALLW). The results indicate that combining multiple objectives when performing routing can benefit networks performance. The RALL and RALLW results in a good performance with regard to the delivery rate, throughput, delay, and power consumption when compared to other approaches, however the RALLW approach did not significant differences when compared to the RALL.A utilização das redes sem fio em diversas aplicações está criando uma nova perspectiva de utilidade para a Internet atual fazendo com que novos paradigmas de comunicação sejam desenvolvidos, como a Internet das coisas (IoT) e redes 5G. Dois tipos de rede sem fio se destacam nesses novos cenários, a Rede de Sensores Sem Fio (RSSF) que fornece dispositivos fundamentais para a implementação dos ambientes inteligentes e da IoT, e a Rede em Malha Sem Fio (RMSF) que permite a interoperabilidade entre os tipos de redes, cobrindo grandes áreas e com um custo relativamente baixo. Essas redes possuem peculiaridade específicas, por exemplo a RSSF possui fortes restrições de consumo energético e capacidade de transmissão, já a RMSF é uma rede com maior capacidade de transmissão e maior alcance. Nesse contexto, é necessário desenvolver soluções que tornam a rede eficiente através da otimização dos seus recursos. Inicialmente foi desenvolvida a abordagem Routing Aware of path Length, Link quality, and traffic Load (RALL) para realizar o roteamento multiobjetivo em RSSF, em seguida, realizamos uma adaptação dessa abordagem para refletir as especificidades dos cenários de uma RMSF, essa adaptação foi intitulada de Routing Aware of path Length, Link quality, and traffic Load Weigthed (RALLW). Em ambas abordagens o problema de roteamento multiobjetivo é composto por três objetivos (quantidade de saltos, quantidade de enlaces com baixa qualidade e balanceamento da rede), comuns a RSSF e a RMSF, apesar de existirem diferenças significativas entre elas ao modelar os objetivos. Os resultados indicam que a combinação de múltiplos objetivos ao realizar o roteamento pode beneficiar o desempenho da rede. As abordagens RALL e RALLW resultaram em bons resultados quando comparados com outras abordagens, em relação à taxa de entrega, vazão, atraso e consumo de energia, entretanto, a abordagem RALLW não mostrou diferenças significativas quando comparada a abordagem RALL.Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2017-09-29T20:50:34Z No. of bitstreams: 2 Dissertação - Vínicius Nunes Medeiros - 2017.pdf: 3262332 bytes, checksum: 6481a1cb0287306368b482913e18928d (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-02T12:58:17Z (GMT) No. of bitstreams: 2 Dissertação - Vínicius Nunes Medeiros - 2017.pdf: 3262332 bytes, checksum: 6481a1cb0287306368b482913e18928d (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2017-10-02T12:58:17Z (GMT). No. of bitstreams: 2 Dissertação - Vínicius Nunes Medeiros - 2017.pdf: 3262332 bytes, checksum: 6481a1cb0287306368b482913e18928d (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-09-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Ciência da Computação (INF)UFGBrasilInstituto de Informática - INF (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRoteamentoRede sem fioRede de sensores sem fioRede em malha sem fioMultiobjetivoBalanceamento de cargaMenor caminhoQualidade de transmissãoRoutingWireless networksWireless sensor networksWireless mesh networkMultiobjectiveLoad balancingLower pathTransmission qualityCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOModelo de otimização multiobjetivo para roteamento em redes sem fioMultiobjective optimization model for wireless network routing — a three-purpose approachinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-3303550325223384799600600600600-771226673463364476836717112058112045092075167498588264571reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGCC-LICENSElicense_urllicense_urltext/plain; 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dc.title.eng.fl_str_mv |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
dc.title.alternative.eng.fl_str_mv |
Multiobjective optimization model for wireless network routing — a three-purpose approach |
title |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
spellingShingle |
Modelo de otimização multiobjetivo para roteamento em redes sem fio Medeiros, Vinícius Nunes Roteamento Rede sem fio Rede de sensores sem fio Rede em malha sem fio Multiobjetivo Balanceamento de carga Menor caminho Qualidade de transmissão Routing Wireless networks Wireless sensor networks Wireless mesh network Multiobjective Load balancing Lower path Transmission quality CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
title_short |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
title_full |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
title_fullStr |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
title_full_unstemmed |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
title_sort |
Modelo de otimização multiobjetivo para roteamento em redes sem fio |
author |
Medeiros, Vinícius Nunes |
author_facet |
Medeiros, Vinícius Nunes |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Borges, Vinicius da Cunha Martins |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6904676677900593 |
dc.contributor.advisor-co1.fl_str_mv |
Silvestre, Bruno Oliveira |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/9449437915418534 |
dc.contributor.referee1.fl_str_mv |
Borges, Vinicius da Cunha Martins |
dc.contributor.referee2.fl_str_mv |
Silvestre, Bruno Oliveira |
dc.contributor.referee3.fl_str_mv |
Soares, Telma Woerle de Lima |
dc.contributor.referee4.fl_str_mv |
Cerqueira, Eduardo Coelho |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/2919046250727833 |
dc.contributor.author.fl_str_mv |
Medeiros, Vinícius Nunes |
contributor_str_mv |
Borges, Vinicius da Cunha Martins Silvestre, Bruno Oliveira Borges, Vinicius da Cunha Martins Silvestre, Bruno Oliveira Soares, Telma Woerle de Lima Cerqueira, Eduardo Coelho |
dc.subject.por.fl_str_mv |
Roteamento Rede sem fio Rede de sensores sem fio Rede em malha sem fio Multiobjetivo Balanceamento de carga Menor caminho Qualidade de transmissão |
topic |
Roteamento Rede sem fio Rede de sensores sem fio Rede em malha sem fio Multiobjetivo Balanceamento de carga Menor caminho Qualidade de transmissão Routing Wireless networks Wireless sensor networks Wireless mesh network Multiobjective Load balancing Lower path Transmission quality CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
dc.subject.eng.fl_str_mv |
Routing Wireless networks Wireless sensor networks Wireless mesh network Multiobjective Load balancing Lower path Transmission quality |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
description |
Owing to the huge range of application scenarios for wireless networks, new prospects for the current and future applications of the Internet, making new communication paradigms such as the Internet of Things (IoT) and 5G networks. Two important networks are included in this scenery: Wireless Sensor Networks (WSN) provide key devices for developing the IoT communication paradigm, such as the sensors used for collecting different kind of information, and the Wireless Mesh Network (WMN) that enable interoperability between heterogeneous network, covering large areas with at am low cost.Eeach one these networks have specific characteristics, for example, the WSN has serious restrictions (e.g. power consumption, low speed wireless links, interference) while the WMN offers high data rates through multiple radios and channels. In this context, it is necessary to find solutions that can ensure more efficient communication system based on the optimized utilization of the network resources. So it was created a multi-objective routing algorithm, called Routing-Aware of path Length, Link quality, and traffic Load (RALL). This seeks to strike a balance between three objectives: to minimize the network bottlenecks, to reduce path length, and to avoid links with low quality, for resolution the routing problem for WSN, Then the RALL approach was adapted to match the specialty of the WMN, entitled Routing Aware of path Length, Link quality, and traffic Load Weighted (RALLW). The results indicate that combining multiple objectives when performing routing can benefit networks performance. The RALL and RALLW results in a good performance with regard to the delivery rate, throughput, delay, and power consumption when compared to other approaches, however the RALLW approach did not significant differences when compared to the RALL. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-10-02T12:58:17Z |
dc.date.issued.fl_str_mv |
2017-09-01 |
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.citation.fl_str_mv |
MEDEIROS, Vinícius Nunes. Modelo de otimização multiobjetivo para roteamento em redes sem fio. 2017. 104 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2017. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/7813 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000009000 |
identifier_str_mv |
MEDEIROS, Vinícius Nunes. Modelo de otimização multiobjetivo para roteamento em redes sem fio. 2017. 104 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2017. ark:/38995/0013000009000 |
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http://repositorio.bc.ufg.br/tede/handle/tede/7813 |
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por |
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por |
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3671711205811204509 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Universidade Federal de Goiás |
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Programa de Pós-graduação em Ciência da Computação (INF) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Instituto de Informática - INF (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
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