Quantifying the channel quality for interference-aware wireless sensor networks
Main Author: | |
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Publication Date: | 2011 |
Other Authors: | , , , |
Format: | Report |
Language: | por |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.22/3752 |
Summary: | 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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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 P.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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:10:29Zoai:recipp.ipp.pt:10400.22/3752Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:45:13.440704Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
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 P.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 |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/3752 |
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 |
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IPP-Hurray Group |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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