A framework for programming sensor networks with scheduling and resource-sharing optimizations

Detalhes bibliográficos
Autor(a) principal: Gupta, Vikram
Data de Publicação: 2011
Outros Autores: Tovar, Eduardo, Lakshmanan, Karthik, Rajkumar, Ragunathan (Raj)
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3811
Resumo: Several projects in the recent past have aimed at promoting Wireless Sensor Networks as an infrastructure technology, where several independent users can submit applications that execute concurrently across the network. Concurrent multiple applications cause significant energy-usage overhead on sensor nodes, that cannot be eliminated by traditional schemes optimized for single-application scenarios. In this paper, we outline two main optimization techniques for reducing power consumption across applications. First, we describe a compiler based approach that identifies redundant sensing requests across applications and eliminates those. Second, we cluster the radio transmissions together by concatenating packets from independent applications based on Rate-Harmonized Scheduling.
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spelling A framework for programming sensor networks with scheduling and resource-sharing optimizationsSeveral projects in the recent past have aimed at promoting Wireless Sensor Networks as an infrastructure technology, where several independent users can submit applications that execute concurrently across the network. Concurrent multiple applications cause significant energy-usage overhead on sensor nodes, that cannot be eliminated by traditional schemes optimized for single-application scenarios. In this paper, we outline two main optimization techniques for reducing power consumption across applications. First, we describe a compiler based approach that identifies redundant sensing requests across applications and eliminates those. Second, we cluster the radio transmissions together by concatenating packets from independent applications based on Rate-Harmonized Scheduling.IEEERepositório Científico do Instituto Politécnico do PortoGupta, VikramTovar, EduardoLakshmanan, KarthikRajkumar, Ragunathan (Raj)2014-02-07T15:28:27Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3811eng978-1-4577-1118-31533-230610.1109/RTCSA.2011.69metadata 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:RCAAP2023-03-13T12:43:39Zoai:recipp.ipp.pt:10400.22/3811Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:47.952421Repositório 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 A framework for programming sensor networks with scheduling and resource-sharing optimizations
title A framework for programming sensor networks with scheduling and resource-sharing optimizations
spellingShingle A framework for programming sensor networks with scheduling and resource-sharing optimizations
Gupta, Vikram
title_short A framework for programming sensor networks with scheduling and resource-sharing optimizations
title_full A framework for programming sensor networks with scheduling and resource-sharing optimizations
title_fullStr A framework for programming sensor networks with scheduling and resource-sharing optimizations
title_full_unstemmed A framework for programming sensor networks with scheduling and resource-sharing optimizations
title_sort A framework for programming sensor networks with scheduling and resource-sharing optimizations
author Gupta, Vikram
author_facet Gupta, Vikram
Tovar, Eduardo
Lakshmanan, Karthik
Rajkumar, Ragunathan (Raj)
author_role author
author2 Tovar, Eduardo
Lakshmanan, Karthik
Rajkumar, Ragunathan (Raj)
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Gupta, Vikram
Tovar, Eduardo
Lakshmanan, Karthik
Rajkumar, Ragunathan (Raj)
description Several projects in the recent past have aimed at promoting Wireless Sensor Networks as an infrastructure technology, where several independent users can submit applications that execute concurrently across the network. Concurrent multiple applications cause significant energy-usage overhead on sensor nodes, that cannot be eliminated by traditional schemes optimized for single-application scenarios. In this paper, we outline two main optimization techniques for reducing power consumption across applications. First, we describe a compiler based approach that identifies redundant sensing requests across applications and eliminates those. Second, we cluster the radio transmissions together by concatenating packets from independent applications based on Rate-Harmonized Scheduling.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2014-02-07T15:28:27Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/3811
url http://hdl.handle.net/10400.22/3811
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 978-1-4577-1118-3
1533-2306
10.1109/RTCSA.2011.69
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