Determining the Minimum Cost Steiner Tree for Delay Constrained Problems
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
DOI: | 10.1109/ACCESS.2021.3122024 |
Texto Completo: | http://hdl.handle.net/10316/96230 https://doi.org/10.1109/ACCESS.2021.3122024 |
Resumo: | We address a variant of the Steiner tree problem for delay constrained problems. The addressed problem consists in determining the minimum cost Steiner tree, while guaranteeing that the delay between any two terminal nodes does not exceed a given maximum value. This problem is known as the bounded diameter Steiner minimum tree problem. We propose a compact formulation based on integer linear programming (ILP) to obtain optimal solutions, which was efficiently solved on two telecommunication core networks up to 75 nodes. However, given that for traditional Steiner tree graphs the ILP proved to be inefficient, we propose a heuristic method and compare it with the ILP formulation. We show that the heuristic provides optimal solutions, except for two cases in our experiments where it provided near-optimal solutions, always in reasonable runtimes. Additionally, to reduce the complexity of the problem, we propose some novel and modified graph reductions specific for the addressed problem. |
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Determining the Minimum Cost Steiner Tree for Delay Constrained ProblemsDelay-constrainedGraph reductionsHeuristicInteger linear programmingSteiner tree problemWe address a variant of the Steiner tree problem for delay constrained problems. The addressed problem consists in determining the minimum cost Steiner tree, while guaranteeing that the delay between any two terminal nodes does not exceed a given maximum value. This problem is known as the bounded diameter Steiner minimum tree problem. We propose a compact formulation based on integer linear programming (ILP) to obtain optimal solutions, which was efficiently solved on two telecommunication core networks up to 75 nodes. However, given that for traditional Steiner tree graphs the ILP proved to be inefficient, we propose a heuristic method and compare it with the ILP formulation. We show that the heuristic provides optimal solutions, except for two cases in our experiments where it provided near-optimal solutions, always in reasonable runtimes. Additionally, to reduce the complexity of the problem, we propose some novel and modified graph reductions specific for the addressed problem.This work was supported in part by European Regional Development Fund (ERDF) through the Centre's Regional Operational Program, and in part by the National Funds through Fundação para a Ciência e Tecnologia (FCT) under Project CENTRO-01-0145-FEDER-029312.IEEE2021-10-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/96230http://hdl.handle.net/10316/96230https://doi.org/10.1109/ACCESS.2021.3122024eng2169-3536https://ieeexplore.ieee.org/document/9583293Martins, LúciaSantos, DorabellaGomes, TeresaGirão-Silva, Ritainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-05-25T06:33:49Zoai:estudogeral.uc.pt:10316/96230Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:14:32.448589Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
title |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
spellingShingle |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems Determining the Minimum Cost Steiner Tree for Delay Constrained Problems Martins, Lúcia Delay-constrained Graph reductions Heuristic Integer linear programming Steiner tree problem Martins, Lúcia Delay-constrained Graph reductions Heuristic Integer linear programming Steiner tree problem |
title_short |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
title_full |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
title_fullStr |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
title_full_unstemmed |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
title_sort |
Determining the Minimum Cost Steiner Tree for Delay Constrained Problems |
author |
Martins, Lúcia |
author_facet |
Martins, Lúcia Martins, Lúcia Santos, Dorabella Gomes, Teresa Girão-Silva, Rita Santos, Dorabella Gomes, Teresa Girão-Silva, Rita |
author_role |
author |
author2 |
Santos, Dorabella Gomes, Teresa Girão-Silva, Rita |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Martins, Lúcia Santos, Dorabella Gomes, Teresa Girão-Silva, Rita |
dc.subject.por.fl_str_mv |
Delay-constrained Graph reductions Heuristic Integer linear programming Steiner tree problem |
topic |
Delay-constrained Graph reductions Heuristic Integer linear programming Steiner tree problem |
description |
We address a variant of the Steiner tree problem for delay constrained problems. The addressed problem consists in determining the minimum cost Steiner tree, while guaranteeing that the delay between any two terminal nodes does not exceed a given maximum value. This problem is known as the bounded diameter Steiner minimum tree problem. We propose a compact formulation based on integer linear programming (ILP) to obtain optimal solutions, which was efficiently solved on two telecommunication core networks up to 75 nodes. However, given that for traditional Steiner tree graphs the ILP proved to be inefficient, we propose a heuristic method and compare it with the ILP formulation. We show that the heuristic provides optimal solutions, except for two cases in our experiments where it provided near-optimal solutions, always in reasonable runtimes. Additionally, to reduce the complexity of the problem, we propose some novel and modified graph reductions specific for the addressed problem. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-21 |
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 |
http://hdl.handle.net/10316/96230 http://hdl.handle.net/10316/96230 https://doi.org/10.1109/ACCESS.2021.3122024 |
url |
http://hdl.handle.net/10316/96230 https://doi.org/10.1109/ACCESS.2021.3122024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2169-3536 https://ieeexplore.ieee.org/document/9583293 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1822183383154819072 |
dc.identifier.doi.none.fl_str_mv |
10.1109/ACCESS.2021.3122024 |