Delivering Reliability of Data Sources in IoT Healthcare Ecosystems

Nowadays, the use of Internet of Things (IoT) in various different fields has made significant progress, especially in the field of healthcare, where a myriad of heterogeneous medical data sources are in use. This fact has reinforced the vision of developing new communication technologies and findin...

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Main Authors: Argyro Mavrogiorgou, Athanasios Kiourtis, Dimosthenis Kyriazis
Format: Article
Language:English
Published: FRUCT 2019-11-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct25/files/Mav.pdf
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spelling doaj-a47787ff1cb84719b2f61530c93873ea2020-11-25T02:40:03ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-11-0162225211219Delivering Reliability of Data Sources in IoT Healthcare EcosystemsArgyro Mavrogiorgou0Athanasios Kiourtis1Dimosthenis Kyriazis2University of Piraeus, Piraeus, GreeceUniversity of Piraeus, Piraeus, GreeceUniversity of Piraeus, Piraeus, GreeceNowadays, the use of Internet of Things (IoT) in various different fields has made significant progress, especially in the field of healthcare, where a myriad of heterogeneous medical data sources are in use. This fact has reinforced the vision of developing new communication technologies and finding new ways to synchronize and successfully manage all these data sources. However, this vision is accompanied by several related challenges. One of these challenges refers to the fact that since all the existing IoT medical data sources are usually characterized by a high degree of heterogeneity, they are expected to be recognized as reliable at different stages, thus providing data of different levels of reliability. To effectively tackle this challenge, the present paper proposes a mechanism for capturing the reliability levels of different IoT medical data sources, so as to automatically decide whether these will be considered as reliable or not, and thus their data will be kept for further analysis. In this context, in this mechanism three (3) discrete stages are implemented, facilitating both the data reliability and the availability estimation of these data sources, making finally feasible the manipulation of these sources and the estimation of their overall reliability levels. The prototype associated with this paper provides an example of this mechanism, demonstrating in detail each discrete stage.https://fruct.org/publications/fruct25/files/Mav.pdf internet of thingsreliabilityqualitydata sourcesdeviceshealthcare
collection DOAJ
language English
format Article
sources DOAJ
author Argyro Mavrogiorgou
Athanasios Kiourtis
Dimosthenis Kyriazis
spellingShingle Argyro Mavrogiorgou
Athanasios Kiourtis
Dimosthenis Kyriazis
Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
Proceedings of the XXth Conference of Open Innovations Association FRUCT
internet of things
reliability
quality
data sources
devices
healthcare
author_facet Argyro Mavrogiorgou
Athanasios Kiourtis
Dimosthenis Kyriazis
author_sort Argyro Mavrogiorgou
title Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
title_short Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
title_full Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
title_fullStr Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
title_full_unstemmed Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
title_sort delivering reliability of data sources in iot healthcare ecosystems
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2019-11-01
description Nowadays, the use of Internet of Things (IoT) in various different fields has made significant progress, especially in the field of healthcare, where a myriad of heterogeneous medical data sources are in use. This fact has reinforced the vision of developing new communication technologies and finding new ways to synchronize and successfully manage all these data sources. However, this vision is accompanied by several related challenges. One of these challenges refers to the fact that since all the existing IoT medical data sources are usually characterized by a high degree of heterogeneity, they are expected to be recognized as reliable at different stages, thus providing data of different levels of reliability. To effectively tackle this challenge, the present paper proposes a mechanism for capturing the reliability levels of different IoT medical data sources, so as to automatically decide whether these will be considered as reliable or not, and thus their data will be kept for further analysis. In this context, in this mechanism three (3) discrete stages are implemented, facilitating both the data reliability and the availability estimation of these data sources, making finally feasible the manipulation of these sources and the estimation of their overall reliability levels. The prototype associated with this paper provides an example of this mechanism, demonstrating in detail each discrete stage.
topic internet of things
reliability
quality
data sources
devices
healthcare
url https://fruct.org/publications/fruct25/files/Mav.pdf
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AT athanasioskiourtis deliveringreliabilityofdatasourcesiniothealthcareecosystems
AT dimostheniskyriazis deliveringreliabilityofdatasourcesiniothealthcareecosystems
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