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Master's Dissertation
DOI
10.11606/D.3.2006.tde-13122006-181657
Document
Author
Full name
Bruno Garbe Junior
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2006
Supervisor
Committee
Cruz, Jose Jaime da (President)
Carvalho, André Carlos Ponce de Leon Ferreira de
Silveira, Regina Melo
Title in Portuguese
Análise de algoritmos de roteamento baseados em formigas.
Keywords in Portuguese
Algoritmos de roteamento
Otimização por colônias de formigas
Redes de computadores
Roteamento por insetos
Abstract in Portuguese
Roteamento por colônia de formigas é um método de roteamento em redes de comunicação, e diversos algoritmos foram propostos nos últimos anos baseado nessa estrutura. Todos esses algoritmos produzem excelentes resultados, provando a sua eficiência e eficácia. Este trabalho apresenta os resultados de desempenho dos principais algoritmos encontrados na literatura, e com base nesses resultados, propõe um novo algoritmo com desempenho equivalente e com uma complexidade computacional menor. O trabalho é focalizado em redes tipo datagrama com topologia irregular, descrevendo suas propriedades e características e realizando uma análise e comparação de seus desempenhos em um ambiente de simulação.
Title in English
Analysis of routing algorithms based in ants.
Keywords in English
Ant colony optimization
Ant routing
Computer networks
Routing algorithms
Abstract in English
Ant Colony Routing is an adaptive method for routing in communication networks, and several algorithms have been proposed in the last years based on this framework. All these algorithms show excellent results, proving their efficiency and efficacy. This work presents the results of the performance of the main algorithms found in the literature, and based on these results, it proposes a novel algorithm that has a similar performance but with a lower computational complexity. The work is focused in datagram like networks with irregular topology, describing its characteristics and properties. The performances in an simulation environment are analysed and compared.
 
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BrunoGarbeJunior.pdf (8.60 Mbytes)
Publishing Date
2006-12-22
 
WARNING: The material described below relates to works resulting from this thesis or dissertation. The contents of these works are the author's responsibility.
  • GARBE JUNIOR, Bruno, and CRUZ, J. J. Analysis of Adaptive Routing Algorithms Inspired in Insects. In LAACS 2006 - 1st. Latin American Autonomic Computing Sysmposium, Campo Grande - MS, 2006. Anais do XXVI Congresso da SBC., 2006.
All rights of the thesis/dissertation are from the authors
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