Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment

Detalhes bibliográficos
Autor(a) principal: Maschi, Luis F. C. [UNESP]
Data de Publicação: 2018
Outros Autores: Pinto, Alex S. R., Meneguette, Rodolfo I., Baldassin, Alexandro [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/s18030799
http://hdl.handle.net/11449/170771
Resumo: With the advent of the Internet of Things, billions of objects or devices are inserted into the global computer network, generating and processing data at a volume never imagined before. This paper proposes a way to collect and process local data through a data fusion technology called summarization. The main feature of the proposal is the local data fusion, through parameters provided by the application, ensuring the quality of data collected by the sensor node. In the evaluation, the sensor node was compared when performing the data summary with another that performed a continuous recording of the collected data. Two sets of nodes were created, one with a sensor node that analyzed the luminosity of the room, which in this case obtained a reduction of 97% in the volume of data generated, and another set that analyzed the temperature of the room, obtaining a reduction of 80% in the data volume. Through these tests, it has been proven that the local data fusion at the node can be used to reduce the volume of data generated, consequently decreasing the volume of messages generated by IoT environments.
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spelling Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environmentData fusionInternet of ThingsIoTSummarizationWith the advent of the Internet of Things, billions of objects or devices are inserted into the global computer network, generating and processing data at a volume never imagined before. This paper proposes a way to collect and process local data through a data fusion technology called summarization. The main feature of the proposal is the local data fusion, through parameters provided by the application, ensuring the quality of data collected by the sensor node. In the evaluation, the sensor node was compared when performing the data summary with another that performed a continuous recording of the collected data. Two sets of nodes were created, one with a sensor node that analyzed the luminosity of the room, which in this case obtained a reduction of 97% in the volume of data generated, and another set that analyzed the temperature of the room, obtaining a reduction of 80% in the data volume. Through these tests, it has been proven that the local data fusion at the node can be used to reduce the volume of data generated, consequently decreasing the volume of messages generated by IoT environments.Department of Statistics Applied Mathematics and Computing Institute of Geosciences and Exact Sciences UNESP—University Estadual PaulistaDepartment of Informatics and Statistics Federal University of Santa CatarinaComputer and Networking Federal Institute of São Paulo (IFSP)Department of Statistics Applied Mathematics and Computing Institute of Geosciences and Exact Sciences UNESP—University Estadual PaulistaUniversidade Estadual Paulista (Unesp)Universidade Federal de Santa Catarina (UFSC)Federal Institute of São Paulo (IFSP)Maschi, Luis F. C. [UNESP]Pinto, Alex S. R.Meneguette, Rodolfo I.Baldassin, Alexandro [UNESP]2018-12-11T16:52:21Z2018-12-11T16:52:21Z2018-03-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.3390/s18030799Sensors (Switzerland), v. 18, n. 3, 2018.1424-8220http://hdl.handle.net/11449/17077110.3390/s180307992-s2.0-850434873332-s2.0-85043487333.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSensors (Switzerland)0,584info:eu-repo/semantics/openAccess2023-10-06T06:02:56Zoai:repositorio.unesp.br:11449/170771Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:08:44.183194Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
title Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
spellingShingle Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
Maschi, Luis F. C. [UNESP]
Data fusion
Internet of Things
IoT
Summarization
title_short Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
title_full Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
title_fullStr Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
title_full_unstemmed Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
title_sort Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
author Maschi, Luis F. C. [UNESP]
author_facet Maschi, Luis F. C. [UNESP]
Pinto, Alex S. R.
Meneguette, Rodolfo I.
Baldassin, Alexandro [UNESP]
author_role author
author2 Pinto, Alex S. R.
Meneguette, Rodolfo I.
Baldassin, Alexandro [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de Santa Catarina (UFSC)
Federal Institute of São Paulo (IFSP)
dc.contributor.author.fl_str_mv Maschi, Luis F. C. [UNESP]
Pinto, Alex S. R.
Meneguette, Rodolfo I.
Baldassin, Alexandro [UNESP]
dc.subject.por.fl_str_mv Data fusion
Internet of Things
IoT
Summarization
topic Data fusion
Internet of Things
IoT
Summarization
description With the advent of the Internet of Things, billions of objects or devices are inserted into the global computer network, generating and processing data at a volume never imagined before. This paper proposes a way to collect and process local data through a data fusion technology called summarization. The main feature of the proposal is the local data fusion, through parameters provided by the application, ensuring the quality of data collected by the sensor node. In the evaluation, the sensor node was compared when performing the data summary with another that performed a continuous recording of the collected data. Two sets of nodes were created, one with a sensor node that analyzed the luminosity of the room, which in this case obtained a reduction of 97% in the volume of data generated, and another set that analyzed the temperature of the room, obtaining a reduction of 80% in the data volume. Through these tests, it has been proven that the local data fusion at the node can be used to reduce the volume of data generated, consequently decreasing the volume of messages generated by IoT environments.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T16:52:21Z
2018-12-11T16:52:21Z
2018-03-07
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://dx.doi.org/10.3390/s18030799
Sensors (Switzerland), v. 18, n. 3, 2018.
1424-8220
http://hdl.handle.net/11449/170771
10.3390/s18030799
2-s2.0-85043487333
2-s2.0-85043487333.pdf
url http://dx.doi.org/10.3390/s18030799
http://hdl.handle.net/11449/170771
identifier_str_mv Sensors (Switzerland), v. 18, n. 3, 2018.
1424-8220
10.3390/s18030799
2-s2.0-85043487333
2-s2.0-85043487333.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sensors (Switzerland)
0,584
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.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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