Cargando…

An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature

Internet of Things (IoT) is a technology that connects devices of different types and characteristics through a network. The massive quantity of the heterogeneous generated data by the sensors imposes many challenges in making these data available to IoT applications. Data reduction and preprocessin...

Descripción completa

Detalles Bibliográficos
Autores principales: Pioli, Laércio, Dorneles, Carina F., de Macedo, Douglas D. J., Dantas, Mario A. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958485/
http://dx.doi.org/10.1007/s00607-022-01073-6
_version_ 1784676953122406400
author Pioli, Laércio
Dorneles, Carina F.
de Macedo, Douglas D. J.
Dantas, Mario A. R.
author_facet Pioli, Laércio
Dorneles, Carina F.
de Macedo, Douglas D. J.
Dantas, Mario A. R.
author_sort Pioli, Laércio
collection PubMed
description Internet of Things (IoT) is a technology that connects devices of different types and characteristics through a network. The massive quantity of the heterogeneous generated data by the sensors imposes many challenges in making these data available to IoT applications. Data reduction and preprocessing are promising concepts that help to handle these data efficiently before storing them. Applying data reduction methods at the edge has emerged as an efficient solution. In such context, this systematic mapping is intended to investigate the data reduction solutions performed exclusively at the edge through a set of research questions. To reach this objective, we performed a Systematic Literature Mapping (SLM) in which 35 papers were strictly analyzed among a total of 853 articles. Finally, we present the results of these analyses answering questions that relate to the researcher’s used techniques, hardware technologies, used data type, and contributed objects to perform the data reduction techniques on the edge of the IoT systems.
format Online
Article
Text
id pubmed-8958485
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Vienna
record_format MEDLINE/PubMed
spelling pubmed-89584852022-03-28 An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature Pioli, Laércio Dorneles, Carina F. de Macedo, Douglas D. J. Dantas, Mario A. R. Computing Regular Paper Internet of Things (IoT) is a technology that connects devices of different types and characteristics through a network. The massive quantity of the heterogeneous generated data by the sensors imposes many challenges in making these data available to IoT applications. Data reduction and preprocessing are promising concepts that help to handle these data efficiently before storing them. Applying data reduction methods at the edge has emerged as an efficient solution. In such context, this systematic mapping is intended to investigate the data reduction solutions performed exclusively at the edge through a set of research questions. To reach this objective, we performed a Systematic Literature Mapping (SLM) in which 35 papers were strictly analyzed among a total of 853 articles. Finally, we present the results of these analyses answering questions that relate to the researcher’s used techniques, hardware technologies, used data type, and contributed objects to perform the data reduction techniques on the edge of the IoT systems. Springer Vienna 2022-03-28 2022 /pmc/articles/PMC8958485/ http://dx.doi.org/10.1007/s00607-022-01073-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Paper
Pioli, Laércio
Dorneles, Carina F.
de Macedo, Douglas D. J.
Dantas, Mario A. R.
An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
title An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
title_full An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
title_fullStr An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
title_full_unstemmed An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
title_short An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
title_sort overview of data reduction solutions at the edge of iot systems: a systematic mapping of the literature
topic Regular Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958485/
http://dx.doi.org/10.1007/s00607-022-01073-6
work_keys_str_mv AT piolilaercio anoverviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT dornelescarinaf anoverviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT demacedodouglasdj anoverviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT dantasmarioar anoverviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT piolilaercio overviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT dornelescarinaf overviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT demacedodouglasdj overviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature
AT dantasmarioar overviewofdatareductionsolutionsattheedgeofiotsystemsasystematicmappingoftheliterature