Multicast routing and wavelength assignment in optical networks with particle swarm optimization
- Autores
- Báez, Alcides; Pinto, Diego
- Año de publicación
- 2009
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Large bandwidth on hand in WDM networks is the best choice for increasing tra c demand; although, routing and wavelength assignment (RWA) problems still remain a challenge. This work proposes a novel method to solve multicast-RWA problems, using multi-objective Particle Swarm Optimization (PSO), implementing four competitive ap- proaches of state-of-the-art. Such algorithms minimize simultaneously the hop count, the number of splitting power light, the number of split- ter node and the balancing of multicast tree for a given set of multicast demands. This way, a set of optimal solutions (known as Pareto set) is obtained in one run of the algorithms, without a priori restrictions. Sim- ulation results prove the viability of the PSO proposal and the advantage compared on classical approaches as Multicast Open Shortest Path First routing algorithm and Least Used wavelength assignment algorithm.
IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
routing and wavelength assignment (RWA)
Particle Swarm Optimization (PSO) - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/21243
Ver los metadatos del registro completo
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Multicast routing and wavelength assignment in optical networks with particle swarm optimizationBáez, AlcidesPinto, DiegoCiencias Informáticasrouting and wavelength assignment (RWA)Particle Swarm Optimization (PSO)Large bandwidth on hand in WDM networks is the best choice for increasing tra c demand; although, routing and wavelength assignment (RWA) problems still remain a challenge. This work proposes a novel method to solve multicast-RWA problems, using multi-objective Particle Swarm Optimization (PSO), implementing four competitive ap- proaches of state-of-the-art. Such algorithms minimize simultaneously the hop count, the number of splitting power light, the number of split- ter node and the balancing of multicast tree for a given set of multicast demands. This way, a set of optimal solutions (known as Pareto set) is obtained in one run of the algorithms, without a priori restrictions. Sim- ulation results prove the viability of the PSO proposal and the advantage compared on classical approaches as Multicast Open Shortest Path First routing algorithm and Least Used wavelength assignment algorithm.IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)Red de Universidades con Carreras en Informática (RedUNCI)2009-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1142-1151http://sedici.unlp.edu.ar/handle/10915/21243enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:54:33Zoai:sedici.unlp.edu.ar:10915/21243Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:33.321SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
title |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
spellingShingle |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization Báez, Alcides Ciencias Informáticas routing and wavelength assignment (RWA) Particle Swarm Optimization (PSO) |
title_short |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
title_full |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
title_fullStr |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
title_full_unstemmed |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
title_sort |
Multicast routing and wavelength assignment in optical networks with particle swarm optimization |
dc.creator.none.fl_str_mv |
Báez, Alcides Pinto, Diego |
author |
Báez, Alcides |
author_facet |
Báez, Alcides Pinto, Diego |
author_role |
author |
author2 |
Pinto, Diego |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas routing and wavelength assignment (RWA) Particle Swarm Optimization (PSO) |
topic |
Ciencias Informáticas routing and wavelength assignment (RWA) Particle Swarm Optimization (PSO) |
dc.description.none.fl_txt_mv |
Large bandwidth on hand in WDM networks is the best choice for increasing tra c demand; although, routing and wavelength assignment (RWA) problems still remain a challenge. This work proposes a novel method to solve multicast-RWA problems, using multi-objective Particle Swarm Optimization (PSO), implementing four competitive ap- proaches of state-of-the-art. Such algorithms minimize simultaneously the hop count, the number of splitting power light, the number of split- ter node and the balancing of multicast tree for a given set of multicast demands. This way, a set of optimal solutions (known as Pareto set) is obtained in one run of the algorithms, without a priori restrictions. Sim- ulation results prove the viability of the PSO proposal and the advantage compared on classical approaches as Multicast Open Shortest Path First routing algorithm and Least Used wavelength assignment algorithm. IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
Large bandwidth on hand in WDM networks is the best choice for increasing tra c demand; although, routing and wavelength assignment (RWA) problems still remain a challenge. This work proposes a novel method to solve multicast-RWA problems, using multi-objective Particle Swarm Optimization (PSO), implementing four competitive ap- proaches of state-of-the-art. Such algorithms minimize simultaneously the hop count, the number of splitting power light, the number of split- ter node and the balancing of multicast tree for a given set of multicast demands. This way, a set of optimal solutions (known as Pareto set) is obtained in one run of the algorithms, without a priori restrictions. Sim- ulation results prove the viability of the PSO proposal and the advantage compared on classical approaches as Multicast Open Shortest Path First routing algorithm and Least Used wavelength assignment algorithm. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/21243 |
url |
http://sedici.unlp.edu.ar/handle/10915/21243 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
eu_rights_str_mv |
openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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application/pdf 1142-1151 |
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