OLSR Fuzzy Cost (OLSR-FC): uma extensão ao protocolo OLSR baseada em lógica Fuzzy e aplicada à prevenção de nós egoístas
Autor(a) principal: | |
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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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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 |
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 |
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/ info:eu-repo/semantics/openAccess |
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 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/ad9436d0-5040-4cba-b73e-36ac3a2e6248/download http://repositorio.bc.ufg.br/tede/bitstreams/c41403f2-b480-4783-8bcf-16aed434340e/download http://repositorio.bc.ufg.br/tede/bitstreams/bfb1da93-59bd-44d2-bbd0-d5eae94f4a7b/download http://repositorio.bc.ufg.br/tede/bitstreams/e7a948ed-1f6e-4bb7-bbf5-0c2c6c7b8a18/download http://repositorio.bc.ufg.br/tede/bitstreams/317c3f69-75a4-446e-9158-b7f48607fe6b/download http://repositorio.bc.ufg.br/tede/bitstreams/9423ccd4-ba14-463f-82ae-7f089803d69a/download http://repositorio.bc.ufg.br/tede/bitstreams/064ed934-0c67-45b0-b4a2-15adc932ec35/download |
bitstream.checksum.fl_str_mv |
bd3efa91386c1718a7f26a329fdcb468 4afdbb8c545fd630ea7db775da747b2f 29b9d5e95be03707f9d4a2e110421c11 9da0b6dfac957114c6a7714714b86306 eea0a39505448f7845d92bdbb4716ff2 b3d09e1aef55805da96d255ed4fcc034 8e7de56fc00652226211b4969312825e |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1815172525660831744 |