OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas

Detalhes bibliográficos
Autor(a) principal: José, Diógenes Antonio Marques
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFG
dARK ID: ark:/38995/0013000001m2c
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/4123
Resumo: This work contributes with an extension to the Optimized Link State Routing protocol (OLSR) called Fuzzy Cost OLSR (OLSR-FC). In order to prevent selfish nodes as well as to improve the traffic flow over Mobile Ad-hoc Networks (MANETs), the routing metrics implemented in OLSR-FC make use of a Fuzzy Inference System (FIS) composed of 8 inference rules. Aiming at the choose of paths with low packet loss, better energy capacity and high connectivity, OLSR-FC implements a procedure of election of routes that takes into account the following parameters: Packet Loss Index (PLI), Residual Energy (RE) and Connectivity Index (CI). The OLSR-FC was evaluated by simulation through the NS- 2, in which two scenarios were implemented: a static one with 10 nodes (in testing phase), and a mobile one with up to 50 nodes. In the former scenario, a comparison was made between OLSR-FC and the original OLSR protocol which results showed that OLSR-FC overcomes OLSR in terms of throughput the packet loss. In the latter scenario, besides the original OLSR protocol, OLSR-FC was also faced up with the OLSR-ETX, OLSR-ML and OLSR-MD extensions in terms of the following performance metrics: throughput, energy consumption, packet loss rate, overhead, delay end-to-end, jitter, and packet delivery rate. In this context, results pointed that OLSR-FC achieved better performance in scenarios with a maximum of 10% of selfish nodes in comparison with every OSLR extension and the OLSR. Besides, by evaluating the main network performance metrics, such as throughput and delivery packet rate, OLSR-FC achieved eleven favorable cases against five cases in comparison with OLSR protocol.
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spelling Sene Junior, Iwens Gervasiohttp://lattes.cnpq.br/3693296350551971Patto, Vinicius SebbaPatto, Vinicius SebbaBulcão Neto, Renato de FreitasBorges, Vinícius da Cunha MartinsMatias Junior, Rivalinohttp://lattes.cnpq.br/8519210321575586José, Diógenes Antonio Marques2015-02-05T19:42:45Z2014-06-05JOSÉ, Diógenes Antonio Marques. OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas. 2014. 173 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2014.http://repositorio.bc.ufg.br/tede/handle/tede/4123ark:/38995/0013000001m2cThis work contributes with an extension to the Optimized Link State Routing protocol (OLSR) called Fuzzy Cost OLSR (OLSR-FC). In order to prevent selfish nodes as well as to improve the traffic flow over Mobile Ad-hoc Networks (MANETs), the routing metrics implemented in OLSR-FC make use of a Fuzzy Inference System (FIS) composed of 8 inference rules. Aiming at the choose of paths with low packet loss, better energy capacity and high connectivity, OLSR-FC implements a procedure of election of routes that takes into account the following parameters: Packet Loss Index (PLI), Residual Energy (RE) and Connectivity Index (CI). The OLSR-FC was evaluated by simulation through the NS- 2, in which two scenarios were implemented: a static one with 10 nodes (in testing phase), and a mobile one with up to 50 nodes. In the former scenario, a comparison was made between OLSR-FC and the original OLSR protocol which results showed that OLSR-FC overcomes OLSR in terms of throughput the packet loss. In the latter scenario, besides the original OLSR protocol, OLSR-FC was also faced up with the OLSR-ETX, OLSR-ML and OLSR-MD extensions in terms of the following performance metrics: throughput, energy consumption, packet loss rate, overhead, delay end-to-end, jitter, and packet delivery rate. In this context, results pointed that OLSR-FC achieved better performance in scenarios with a maximum of 10% of selfish nodes in comparison with every OSLR extension and the OLSR. Besides, by evaluating the main network performance metrics, such as throughput and delivery packet rate, OLSR-FC achieved eleven favorable cases against five cases in comparison with OLSR protocol.O presente trabalho propõe uma extensão ao protocolo Optimized Link State Routing (OLSR) denominada OLSR Fuzzy Cost (OLSR-FC). A métrica de roteamento utilizada pelo OLSR-FC faz uso de um Sistema de Inferência Fuzzy (SIF), composto por 8 regras de inferência, que tem como objetivos evitar nós egoístas e melhorar o fluxo do tráfego nas redes móveis ad-hoc (MANETs). O critério de escolha de rotas leva em consideração os seguintes parâmetros: Índice de Perda de Pacotes (IPP), Energia Residual (ER) e Índice de Conectividade (IC), o propósito disso, consiste em escolher caminhos que possuam baixa perda de pacotes, melhor capacidade energética e alta conectividade. A proposta foi avaliada por simulação utilizando o simulador de redes NS-2. Foram considerados na avaliação dois cenários, um estático com 10 nós (utilizado na fase de testes) e um móvel com até 50 nós. No cenário estático o OLSR-FC foi comparado ao OLSR e os resultados mostraram que a proposta obtém vantagens com relação às métricas de desempenho vazão e perda de pacotes. No cenário móvel o OLSR-FC, além do OLSR, foi comparado às extensões OLSR-ETX, OLSR-ML e OLSR-MD, com relação as seguintes métricas de desempenho: vazão, consumo de energia, perda de pacotes, overhead, atraso fim-a-fim, jitter e taxa de entrega de pacotes. Nesse contexto, os resultados obtidos mostram que em ambientes com até 10% de nós egoístas o OLSR-FC obtém melhor desempenho que as extensões testadas e com relação ao OLSR, na mesma situação, avaliando as principais métricas de desempenho de redes, como vazão e taxa de entrega de pacotes, o OLSR-FC obteve onze casos favoráveis contra apenas cinco casos do OLSR.Submitted by Erika Demachki (erikademachki@gmail.com) on 2015-02-05T19:42:01Z No. of bitstreams: 2 Dissertação - Diógenes Antonio Marques José - 2014.pdf: 9980108 bytes, checksum: eea0a39505448f7845d92bdbb4716ff2 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Erika Demachki (erikademachki@gmail.com) on 2015-02-05T19:42:44Z (GMT) No. of bitstreams: 2 Dissertação - Diógenes Antonio Marques José - 2014.pdf: 9980108 bytes, checksum: eea0a39505448f7845d92bdbb4716ff2 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2015-02-05T19:42:45Z (GMT). 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dc.title.eng.fl_str_mv OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
dc.title.alternative.eng.fl_str_mv OLSR Fuzzy Cost (OLSR-FC): an extension to OLSR protocol based on Fuzzy logic and applied to prevent selfish nodes
title OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
spellingShingle OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
José, Diógenes Antonio Marques
MANETs
OLSR
Comportamento egoísta
QoS
Lógica Fuzzy
Métrica de roteamento
Selfish behavior
Fuzzy logic
Routing metric
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
title_short OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
title_full OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
title_fullStr OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
title_full_unstemmed OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
title_sort OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
author José, Diógenes Antonio Marques
author_facet José, Diógenes Antonio Marques
author_role author
dc.contributor.advisor1.fl_str_mv Sene Junior, Iwens Gervasio
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3693296350551971
dc.contributor.advisor-co1.fl_str_mv Patto, Vinicius Sebba
dc.contributor.referee1.fl_str_mv Patto, Vinicius Sebba
dc.contributor.referee2.fl_str_mv Bulcão Neto, Renato de Freitas
dc.contributor.referee3.fl_str_mv Borges, Vinícius da Cunha Martins
dc.contributor.referee4.fl_str_mv Matias Junior, Rivalino
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/8519210321575586
dc.contributor.author.fl_str_mv José, Diógenes Antonio Marques
contributor_str_mv Sene Junior, Iwens Gervasio
Patto, Vinicius Sebba
Patto, Vinicius Sebba
Bulcão Neto, Renato de Freitas
Borges, Vinícius da Cunha Martins
Matias Junior, Rivalino
dc.subject.por.fl_str_mv MANETs
OLSR
Comportamento egoísta
QoS
Lógica Fuzzy
Métrica de roteamento
topic MANETs
OLSR
Comportamento egoísta
QoS
Lógica Fuzzy
Métrica de roteamento
Selfish behavior
Fuzzy logic
Routing metric
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
dc.subject.eng.fl_str_mv Selfish behavior
Fuzzy logic
Routing metric
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
description This work contributes with an extension to the Optimized Link State Routing protocol (OLSR) called Fuzzy Cost OLSR (OLSR-FC). In order to prevent selfish nodes as well as to improve the traffic flow over Mobile Ad-hoc Networks (MANETs), the routing metrics implemented in OLSR-FC make use of a Fuzzy Inference System (FIS) composed of 8 inference rules. Aiming at the choose of paths with low packet loss, better energy capacity and high connectivity, OLSR-FC implements a procedure of election of routes that takes into account the following parameters: Packet Loss Index (PLI), Residual Energy (RE) and Connectivity Index (CI). The OLSR-FC was evaluated by simulation through the NS- 2, in which two scenarios were implemented: a static one with 10 nodes (in testing phase), and a mobile one with up to 50 nodes. In the former scenario, a comparison was made between OLSR-FC and the original OLSR protocol which results showed that OLSR-FC overcomes OLSR in terms of throughput the packet loss. In the latter scenario, besides the original OLSR protocol, OLSR-FC was also faced up with the OLSR-ETX, OLSR-ML and OLSR-MD extensions in terms of the following performance metrics: throughput, energy consumption, packet loss rate, overhead, delay end-to-end, jitter, and packet delivery rate. In this context, results pointed that OLSR-FC achieved better performance in scenarios with a maximum of 10% of selfish nodes in comparison with every OSLR extension and the OLSR. Besides, by evaluating the main network performance metrics, such as throughput and delivery packet rate, OLSR-FC achieved eleven favorable cases against five cases in comparison with OLSR protocol.
publishDate 2014
dc.date.issued.fl_str_mv 2014-06-05
dc.date.accessioned.fl_str_mv 2015-02-05T19:42:45Z
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 JOSÉ, Diógenes Antonio Marques. OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas. 2014. 173 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2014.
dc.identifier.uri.fl_str_mv http://repositorio.bc.ufg.br/tede/handle/tede/4123
dc.identifier.dark.fl_str_mv ark:/38995/0013000001m2c
identifier_str_mv JOSÉ, Diógenes Antonio Marques. OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas. 2014. 173 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2014.
ark:/38995/0013000001m2c
url http://repositorio.bc.ufg.br/tede/handle/tede/4123
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language por
dc.relation.program.fl_str_mv -3303550325223384799
dc.relation.confidence.fl_str_mv 600
600
600
dc.relation.department.fl_str_mv -7712266734633644768
dc.relation.cnpq.fl_str_mv 3671711205811204509
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Goiás
dc.publisher.program.fl_str_mv 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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institution UFG
reponame_str Repositório Institucional da UFG
collection Repositório Institucional da UFG
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repository.name.fl_str_mv Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv tasesdissertacoes.bc@ufg.br
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