Internet of Things Based Contact Tracing Systems

The COVID-19 pandemic has significantly threatened the health and well-being of humanity. Contact tracing (CT) as an important non-pharmaceutical intervention is essential to containing the spread of such an infectious disease. However, current CT solutions are fragmented with limited use of sensing...

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Autores principales:	Peng Hu, Philippe Lamontagne
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	contact tracing Internet of Things privacy proximity sensing environment sensing SARS-CoV-2 Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/fc316543666246b18571741b50ba1239
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id	oai:doaj.org-article:fc316543666246b18571741b50ba1239
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spelling	oai:doaj.org-article:fc316543666246b18571741b50ba12392021-11-11T19:07:39ZInternet of Things Based Contact Tracing Systems10.3390/s212171241424-8220https://doaj.org/article/fc316543666246b18571741b50ba12392021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7124https://doaj.org/toc/1424-8220The COVID-19 pandemic has significantly threatened the health and well-being of humanity. Contact tracing (CT) as an important non-pharmaceutical intervention is essential to containing the spread of such an infectious disease. However, current CT solutions are fragmented with limited use of sensing and computing technologies in a scalable framework. These issues can be well addressed with the use of the Internet of Things (IoT) technologies. Therefore, we need to overview the principle, motivation, and architecture for a generic IoT-based CT system (IoT-CTS). A novel architecture for IoT-CTS solutions is proposed with the consideration of peer-to-peer and object-to-peer contact events, as well as the discussion on key topics, such as an overview of applicable sensors for CT needs arising from the COVID-19 transmission methods. The proposed IoT-CTS architecture aims to holistically utilize essential sensing mechanisms with the analysis of widely adopted privacy-preserving techniques. With the use of generic peer-to-peer and object-to-peer sensors based on proximity and environment sensing mechanisms, the infectious cases with self-directed strategies can be effectively reduced. Some open research directions are presented in the end.Peng HuPhilippe LamontagneMDPI AGarticlecontact tracingInternet of Thingsprivacyproximity sensingenvironment sensingSARS-CoV-2Chemical technologyTP1-1185ENSensors, Vol 21, Iss 7124, p 7124 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	contact tracing Internet of Things privacy proximity sensing environment sensing SARS-CoV-2 Chemical technology TP1-1185
spellingShingle	contact tracing Internet of Things privacy proximity sensing environment sensing SARS-CoV-2 Chemical technology TP1-1185 Peng Hu Philippe Lamontagne Internet of Things Based Contact Tracing Systems
description	The COVID-19 pandemic has significantly threatened the health and well-being of humanity. Contact tracing (CT) as an important non-pharmaceutical intervention is essential to containing the spread of such an infectious disease. However, current CT solutions are fragmented with limited use of sensing and computing technologies in a scalable framework. These issues can be well addressed with the use of the Internet of Things (IoT) technologies. Therefore, we need to overview the principle, motivation, and architecture for a generic IoT-based CT system (IoT-CTS). A novel architecture for IoT-CTS solutions is proposed with the consideration of peer-to-peer and object-to-peer contact events, as well as the discussion on key topics, such as an overview of applicable sensors for CT needs arising from the COVID-19 transmission methods. The proposed IoT-CTS architecture aims to holistically utilize essential sensing mechanisms with the analysis of widely adopted privacy-preserving techniques. With the use of generic peer-to-peer and object-to-peer sensors based on proximity and environment sensing mechanisms, the infectious cases with self-directed strategies can be effectively reduced. Some open research directions are presented in the end.
format	article
author	Peng Hu Philippe Lamontagne
author_facet	Peng Hu Philippe Lamontagne
author_sort	Peng Hu
title	Internet of Things Based Contact Tracing Systems
title_short	Internet of Things Based Contact Tracing Systems
title_full	Internet of Things Based Contact Tracing Systems
title_fullStr	Internet of Things Based Contact Tracing Systems
title_full_unstemmed	Internet of Things Based Contact Tracing Systems
title_sort	internet of things based contact tracing systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fc316543666246b18571741b50ba1239
work_keys_str_mv	AT penghu internetofthingsbasedcontacttracingsystems AT philippelamontagne internetofthingsbasedcontacttracingsystems
_version_	1718431623540637696

Internet of Things Based Contact Tracing Systems

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