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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958485/ http://dx.doi.org/10.1007/s00607-022-01073-6 |
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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 |
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