Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis
| Ano de defesa: | 2009 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal de Minas Gerais
|
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Link de acesso: | https://hdl.handle.net/1843/SLSS-7XGGKA |
Resumo: | In this work, we introduce a new network topology model and algorithms to minimize the energy consumption in Wireless Sensor Networks (WSNs) with mobile sinks. On the one hand, the proposed optimization problem explicitly minimizes the energy consumption rates due to message forwarding. On the other hand, it also attempts to keep message delay rates at low levels by imposing a maximum distance to be traveled by each mobile sink. Inaddition to all that, our approach also differs from most studies in the literature since the clustering and routing problems are dealt jointly. To the best of our knowledge, the Combinatorial Optimization Problem that arises when all these features are considered together has never been studied before. We present a Mixed Integer Programming formulation for the problem based on network flows and various heuristics to quickly find feasible integer solutions. Our computational experiments indicated that the proposed heuristics works pretty well in practice. We also implemented a simulation framework which embeds the proposed heuristics to validate the network topology introduced here. The simulation results show that our approach leads to significant improvements for all Quality of Service parameters in WSN like energy consumption, network lifetime, among others. |
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Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveisSensores Processamento de dadosComputaçãoSistemas de comunicaçâo sem fioOtimização combinatóriaRedes de Sensores sem FioHeurísticasSorvedouro móvelIn this work, we introduce a new network topology model and algorithms to minimize the energy consumption in Wireless Sensor Networks (WSNs) with mobile sinks. On the one hand, the proposed optimization problem explicitly minimizes the energy consumption rates due to message forwarding. On the other hand, it also attempts to keep message delay rates at low levels by imposing a maximum distance to be traveled by each mobile sink. Inaddition to all that, our approach also differs from most studies in the literature since the clustering and routing problems are dealt jointly. To the best of our knowledge, the Combinatorial Optimization Problem that arises when all these features are considered together has never been studied before. We present a Mixed Integer Programming formulation for the problem based on network flows and various heuristics to quickly find feasible integer solutions. Our computational experiments indicated that the proposed heuristics works pretty well in practice. We also implemented a simulation framework which embeds the proposed heuristics to validate the network topology introduced here. The simulation results show that our approach leads to significant improvements for all Quality of Service parameters in WSN like energy consumption, network lifetime, among others.Universidade Federal de Minas Gerais2019-08-13T09:28:52Z2025-09-08T23:32:45Z2019-08-13T09:28:52Z2009-10-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/1843/SLSS-7XGGKACarla Oliveira Bechelaneinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-09T18:53:46Zoai:repositorio.ufmg.br:1843/SLSS-7XGGKARepositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-09T18:53:46Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
| dc.title.none.fl_str_mv |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| title |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| spellingShingle |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis Carla Oliveira Bechelane Sensores Processamento de dados Computação Sistemas de comunicaçâo sem fio Otimização combinatória Redes de Sensores sem Fio Heurísticas Sorvedouro móvel |
| title_short |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| title_full |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| title_fullStr |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| title_full_unstemmed |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| title_sort |
Uma abordagem para minimização de consumo de energia em redes de sensores sem fio com sorvedouros móveis |
| author |
Carla Oliveira Bechelane |
| author_facet |
Carla Oliveira Bechelane |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Carla Oliveira Bechelane |
| dc.subject.por.fl_str_mv |
Sensores Processamento de dados Computação Sistemas de comunicaçâo sem fio Otimização combinatória Redes de Sensores sem Fio Heurísticas Sorvedouro móvel |
| topic |
Sensores Processamento de dados Computação Sistemas de comunicaçâo sem fio Otimização combinatória Redes de Sensores sem Fio Heurísticas Sorvedouro móvel |
| description |
In this work, we introduce a new network topology model and algorithms to minimize the energy consumption in Wireless Sensor Networks (WSNs) with mobile sinks. On the one hand, the proposed optimization problem explicitly minimizes the energy consumption rates due to message forwarding. On the other hand, it also attempts to keep message delay rates at low levels by imposing a maximum distance to be traveled by each mobile sink. Inaddition to all that, our approach also differs from most studies in the literature since the clustering and routing problems are dealt jointly. To the best of our knowledge, the Combinatorial Optimization Problem that arises when all these features are considered together has never been studied before. We present a Mixed Integer Programming formulation for the problem based on network flows and various heuristics to quickly find feasible integer solutions. Our computational experiments indicated that the proposed heuristics works pretty well in practice. We also implemented a simulation framework which embeds the proposed heuristics to validate the network topology introduced here. The simulation results show that our approach leads to significant improvements for all Quality of Service parameters in WSN like energy consumption, network lifetime, among others. |
| publishDate |
2009 |
| dc.date.none.fl_str_mv |
2009-10-16 2019-08-13T09:28:52Z 2019-08-13T09:28:52Z 2025-09-08T23:32:45Z |
| 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.uri.fl_str_mv |
https://hdl.handle.net/1843/SLSS-7XGGKA |
| url |
https://hdl.handle.net/1843/SLSS-7XGGKA |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
| publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
| dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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Universidade Federal de Minas Gerais (UFMG) |
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UFMG |
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UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG) |
| repository.mail.fl_str_mv |
repositorio@ufmg.br |
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1856413920075448320 |