Quantifying the channel quality for interference-aware wireless sensor networks

Detalhes bibliográficos
Autor(a) principal: Noda, Claro
Data de Publicação: 2011
Outros Autores: Prabh, K. Shashi, Alves, Mário, Voigt, Thiemo, Boano, Carlo Alberto
Tipo de documento: Relatório
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3752
Resumo: Reliability of communications is key to expand application domains for sensor networks. SinceWireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies.
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spelling Quantifying the channel quality for interference-aware wireless sensor networksChannel qualityInterferenceISMBandsDynamic Resource AdaptationWireless sensor networksReliability of communications is key to expand application domains for sensor networks. SinceWireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies.IPP-Hurray GroupRepositório Científico do Instituto Politécnico do PortoNoda, ClaroPrabh, K. ShashiAlves, MárioVoigt, ThiemoBoano, Carlo Alberto2014-02-06T15:15:01Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportapplication/pdfhttp://hdl.handle.net/10400.22/3752porinfo: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:RCAAP2023-03-13T12:43:35Zoai:recipp.ipp.pt:10400.22/3752Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:44.370129Repositório 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 Quantifying the channel quality for interference-aware wireless sensor networks
title Quantifying the channel quality for interference-aware wireless sensor networks
spellingShingle Quantifying the channel quality for interference-aware wireless sensor networks
Noda, Claro
Channel quality
Interference
ISMBands
Dynamic Resource Adaptation
Wireless sensor networks
title_short Quantifying the channel quality for interference-aware wireless sensor networks
title_full Quantifying the channel quality for interference-aware wireless sensor networks
title_fullStr Quantifying the channel quality for interference-aware wireless sensor networks
title_full_unstemmed Quantifying the channel quality for interference-aware wireless sensor networks
title_sort Quantifying the channel quality for interference-aware wireless sensor networks
author Noda, Claro
author_facet Noda, Claro
Prabh, K. Shashi
Alves, Mário
Voigt, Thiemo
Boano, Carlo Alberto
author_role author
author2 Prabh, K. Shashi
Alves, Mário
Voigt, Thiemo
Boano, Carlo Alberto
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 Noda, Claro
Prabh, K. Shashi
Alves, Mário
Voigt, Thiemo
Boano, Carlo Alberto
dc.subject.por.fl_str_mv Channel quality
Interference
ISMBands
Dynamic Resource Adaptation
Wireless sensor networks
topic Channel quality
Interference
ISMBands
Dynamic Resource Adaptation
Wireless sensor networks
description Reliability of communications is key to expand application domains for sensor networks. SinceWireless Sensor Networks (WSN) operate in the license-free Industrial Scientific and Medical (ISM) bands and hence share the spectrum with other wireless technologies, addressing interference is an important challenge. In order to minimize its effect, nodes can dynamically adapt radio resources provided information about current spectrum usage is available. We present a new channel quality metric, based on availability of the channel over time, which meaningfully quantifies spectrum usage. We discuss the optimum scanning time for capturing the channel condition while maintaining energy-efficiency. Using data collected from a number of Wi-Fi networks operating in a library building, we show that our metric has strong correlation with the Packet Reception Rate (PRR). This suggests that quantifying interference in the channel can help in adapting resources for better reliability. We present a discussion of the usage of our metric for various resource allocation and adaptation strategies.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2014-02-06T15:15:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
format report
status_str publishedVersion
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url http://hdl.handle.net/10400.22/3752
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 IPP-Hurray Group
publisher.none.fl_str_mv IPP-Hurray Group
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
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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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