Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/14574 |
Resumo: | XDense is a novel wired 2D mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g., thousands of sensors per square meter). It was conceived for cyber-physical systems that require real-time sensing and actuation, like active flow control on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed to enable complex feature extraction within bounded time and in a responsive manner. In this article, we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic-shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applications |
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Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic ShapingNetworksNetwork performance modelingNetwork performance analysisNetwork performance evaluationNetwork simulationsDense sensor networksReal-time communicationTraffic shapingXDense is a novel wired 2D mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g., thousands of sensors per square meter). It was conceived for cyber-physical systems that require real-time sensing and actuation, like active flow control on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed to enable complex feature extraction within bounded time and in a responsive manner. In this article, we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic-shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applicationsInstitute of Electrical and Electronics EngineersRepositório Científico do Instituto Politécnico do PortoLoureiro, JoãoRangarajan, RaghuramanNikolic, BorislavSoares Indrusiak, LeandroTovar, Eduardo20192119-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/14574eng2378-962X10.1145/3230872metadata only accessinfo: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:RCAAP2023-03-13T12:58:13Zoai:recipp.ipp.pt:10400.22/14574Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:34:25.592385Repositório 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 |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
title |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
spellingShingle |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping Loureiro, João Networks Network performance modeling Network performance analysis Network performance evaluation Network simulations Dense sensor networks Real-time communication Traffic shaping |
title_short |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
title_full |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
title_fullStr |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
title_full_unstemmed |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
title_sort |
Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping |
author |
Loureiro, João |
author_facet |
Loureiro, João Rangarajan, Raghuraman Nikolic, Borislav Soares Indrusiak, Leandro Tovar, Eduardo |
author_role |
author |
author2 |
Rangarajan, Raghuraman Nikolic, Borislav Soares Indrusiak, Leandro Tovar, Eduardo |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Loureiro, João Rangarajan, Raghuraman Nikolic, Borislav Soares Indrusiak, Leandro Tovar, Eduardo |
dc.subject.por.fl_str_mv |
Networks Network performance modeling Network performance analysis Network performance evaluation Network simulations Dense sensor networks Real-time communication Traffic shaping |
topic |
Networks Network performance modeling Network performance analysis Network performance evaluation Network simulations Dense sensor networks Real-time communication Traffic shaping |
description |
XDense is a novel wired 2D mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g., thousands of sensors per square meter). It was conceived for cyber-physical systems that require real-time sensing and actuation, like active flow control on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed to enable complex feature extraction within bounded time and in a responsive manner. In this article, we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic-shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applications |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z 2119-01-01T00:00:00Z |
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/10400.22/14574 |
url |
http://hdl.handle.net/10400.22/14574 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2378-962X 10.1145/3230872 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
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 |
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