Data summarization in the node by parameters (DSNP): Local data fusion in an IoT environment
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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2946 |
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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 |
|
_version_ |
1808128321255374848 |