Evolutionary strategy for practical design of passive optical networks
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UnB |
Texto Completo: | https://repositorio.unb.br/handle/10482/44471 https://doi.org/10.3390/photonics9050278 https://orcid.org/0000-0001-5904-3572 https://orcid.org/0000-0002-6451-0419 https://orcid.org/0000-0003-4232-9317 https://orcid.org/0000-0003-2047-7167 https://orcid.org/0000-0002-3003-3458 https://orcid.org/0000-0003-1101-3029 https://orcid.org/0000-0002-9424-8810 |
Resumo: | Passive optical networks (PONs) are an important and interesting technology for broadband access as a result of the growing demand for bandwidth over the past 10 years. An arduous and complex step in the design of such networks involves determining the placement of equipment, optical fiber cables and several other parameters relevant to the proper functioning of the network. In this paper, we propose an evolutionary strategy to optimize the infrastructure design of PONs by using genetic algorithm technique. This meta-heuristic is capable of elaborating fast, automatic and efficient solutions for the design and planning of PONs. Our proposal has been developed using real maps, aiming to minimize deployment costs and time spent to carry out PON projects, achieving pre-defined quality criteria. We considered, in our simulations, two scenarios (non-dense and dense), four possible topologies and two regions of interest. The non-dense consists of a scenario in which subscribers are distributed in a dispersed manner in the region of interest. The dense has a considerably higher number of subscribers distributed in a very close way to each other. Based on the obtained results, the potential of our proposal is quite clear, as well as its relevance from a technical, economic, and commercial point of view. |
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Evolutionary strategy for practical design of passive optical networksAlgoritmos genéticosRede ópticaDesign práticoPassive optical networks (PONs) are an important and interesting technology for broadband access as a result of the growing demand for bandwidth over the past 10 years. An arduous and complex step in the design of such networks involves determining the placement of equipment, optical fiber cables and several other parameters relevant to the proper functioning of the network. In this paper, we propose an evolutionary strategy to optimize the infrastructure design of PONs by using genetic algorithm technique. This meta-heuristic is capable of elaborating fast, automatic and efficient solutions for the design and planning of PONs. Our proposal has been developed using real maps, aiming to minimize deployment costs and time spent to carry out PON projects, achieving pre-defined quality criteria. We considered, in our simulations, two scenarios (non-dense and dense), four possible topologies and two regions of interest. The non-dense consists of a scenario in which subscribers are distributed in a dispersed manner in the region of interest. The dense has a considerably higher number of subscribers distributed in a very close way to each other. Based on the obtained results, the potential of our proposal is quite clear, as well as its relevance from a technical, economic, and commercial point of view.MDPIleonardopd@ufba.bralex.ferreira@ufrb.edu.brhelder.pereira@dee.ufcg.edu.brraul.almeidajunior@ufpe.brgiozza@unb.brdesousa@unb.brkarcius.assis@ufba.brDias, Leonardo PereiraSantos, Alex Ferreira dosPereira, Helder AlvesAlmeida Júnior, Raul Camelo de AndradeGiozza, William FerreiraSousa Júnior, Rafael Timóteo deAssis, Karcius Day Rosario2022-08-09T22:19:46Z2022-08-09T22:19:46Z2022-04-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfDIAS, Leonardo Pereira et al. Evolutionary strategy for practical design of passive optical networks. Photonics, Basel, v. 9, n. 5, art. 278, 2022. DOI 10.3390/photonics9050278. Disponível em: https://www.mdpi.com/2304-6732/9/5/278. Acesso em: 09 ago. 2022.https://repositorio.unb.br/handle/10482/44471https://doi.org/10.3390/photonics9050278https://orcid.org/0000-0001-5904-3572https://orcid.org/0000-0002-6451-0419https://orcid.org/0000-0003-4232-9317https://orcid.org/0000-0003-2047-7167https://orcid.org/0000-0002-3003-3458https://orcid.org/0000-0003-1101-3029https://orcid.org/0000-0002-9424-8810Photonics - Articles published in Photonics will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text: © 2022 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). Fonte: https://www.mdpi.com/journal/photonics/about. Acesso em: 09 ago. 2022.info:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNB2023-05-24T23:19:32Zoai:repositorio.unb.br:10482/44471Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2023-05-24T23:19:32Repositório Institucional da UnB - Universidade de Brasília (UnB)false |
dc.title.none.fl_str_mv |
Evolutionary strategy for practical design of passive optical networks |
title |
Evolutionary strategy for practical design of passive optical networks |
spellingShingle |
Evolutionary strategy for practical design of passive optical networks Dias, Leonardo Pereira Algoritmos genéticos Rede óptica Design prático |
title_short |
Evolutionary strategy for practical design of passive optical networks |
title_full |
Evolutionary strategy for practical design of passive optical networks |
title_fullStr |
Evolutionary strategy for practical design of passive optical networks |
title_full_unstemmed |
Evolutionary strategy for practical design of passive optical networks |
title_sort |
Evolutionary strategy for practical design of passive optical networks |
author |
Dias, Leonardo Pereira |
author_facet |
Dias, Leonardo Pereira Santos, Alex Ferreira dos Pereira, Helder Alves Almeida Júnior, Raul Camelo de Andrade Giozza, William Ferreira Sousa Júnior, Rafael Timóteo de Assis, Karcius Day Rosario |
author_role |
author |
author2 |
Santos, Alex Ferreira dos Pereira, Helder Alves Almeida Júnior, Raul Camelo de Andrade Giozza, William Ferreira Sousa Júnior, Rafael Timóteo de Assis, Karcius Day Rosario |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
leonardopd@ufba.br alex.ferreira@ufrb.edu.br helder.pereira@dee.ufcg.edu.br raul.almeidajunior@ufpe.br giozza@unb.br desousa@unb.br karcius.assis@ufba.br |
dc.contributor.author.fl_str_mv |
Dias, Leonardo Pereira Santos, Alex Ferreira dos Pereira, Helder Alves Almeida Júnior, Raul Camelo de Andrade Giozza, William Ferreira Sousa Júnior, Rafael Timóteo de Assis, Karcius Day Rosario |
dc.subject.por.fl_str_mv |
Algoritmos genéticos Rede óptica Design prático |
topic |
Algoritmos genéticos Rede óptica Design prático |
description |
Passive optical networks (PONs) are an important and interesting technology for broadband access as a result of the growing demand for bandwidth over the past 10 years. An arduous and complex step in the design of such networks involves determining the placement of equipment, optical fiber cables and several other parameters relevant to the proper functioning of the network. In this paper, we propose an evolutionary strategy to optimize the infrastructure design of PONs by using genetic algorithm technique. This meta-heuristic is capable of elaborating fast, automatic and efficient solutions for the design and planning of PONs. Our proposal has been developed using real maps, aiming to minimize deployment costs and time spent to carry out PON projects, achieving pre-defined quality criteria. We considered, in our simulations, two scenarios (non-dense and dense), four possible topologies and two regions of interest. The non-dense consists of a scenario in which subscribers are distributed in a dispersed manner in the region of interest. The dense has a considerably higher number of subscribers distributed in a very close way to each other. Based on the obtained results, the potential of our proposal is quite clear, as well as its relevance from a technical, economic, and commercial point of view. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-09T22:19:46Z 2022-08-09T22:19:46Z 2022-04-20 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
DIAS, Leonardo Pereira et al. Evolutionary strategy for practical design of passive optical networks. Photonics, Basel, v. 9, n. 5, art. 278, 2022. DOI 10.3390/photonics9050278. Disponível em: https://www.mdpi.com/2304-6732/9/5/278. Acesso em: 09 ago. 2022. https://repositorio.unb.br/handle/10482/44471 https://doi.org/10.3390/photonics9050278 https://orcid.org/0000-0001-5904-3572 https://orcid.org/0000-0002-6451-0419 https://orcid.org/0000-0003-4232-9317 https://orcid.org/0000-0003-2047-7167 https://orcid.org/0000-0002-3003-3458 https://orcid.org/0000-0003-1101-3029 https://orcid.org/0000-0002-9424-8810 |
identifier_str_mv |
DIAS, Leonardo Pereira et al. Evolutionary strategy for practical design of passive optical networks. Photonics, Basel, v. 9, n. 5, art. 278, 2022. DOI 10.3390/photonics9050278. Disponível em: https://www.mdpi.com/2304-6732/9/5/278. Acesso em: 09 ago. 2022. |
url |
https://repositorio.unb.br/handle/10482/44471 https://doi.org/10.3390/photonics9050278 https://orcid.org/0000-0001-5904-3572 https://orcid.org/0000-0002-6451-0419 https://orcid.org/0000-0003-4232-9317 https://orcid.org/0000-0003-2047-7167 https://orcid.org/0000-0002-3003-3458 https://orcid.org/0000-0003-1101-3029 https://orcid.org/0000-0002-9424-8810 |
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por |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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MDPI |
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MDPI |
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reponame:Repositório Institucional da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
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