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Sensing amidst a Pandemic

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 2982

Special Issue Editors


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Guest Editor
Computer & Information Science Faculty, Georgia State University, Atlanta, GA 30302, USA
Interests: healthcare informatics; wireless and sensor networks; security and privacy; STEM education

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Guest Editor
Department of Software Enportraitgineering & Game Development, Kennesaw State University, Kennesaw, GA, USA
Interests: privacy protection; IoT; federated learning

Special Issue Information

Dear Colleagues,

COVID-19 has impacted nearly every facet of our lives worldwide. How we interact, work, navigate, and educate has changed drastically. It has claimed the lives of nearly 1 million people, infected almost 24 million, and wreaked havoc on numerous industries, not to mention the financial impact on countless households. The faster that we can stop the spread of this highly infectious disease, the sooner we can begin a meaningful recovery process. We believe that technology can play a vital role in mitigating the spread, specifically through the use of sensors or the IoT.

Sensing technology is currently ubiquitous. From wearable sensors to smart home devices and embedded systems that are a part of almost every industry, we can collect a wide array of data to improve our everyday lives. This Special Issue will focus on the utilization of sensors to address the pandemic. We welcome contributions that seek to answer how sensors can be used to:

  • Track the physical health of individuals;
  • Support the mental health of individuals;
  • Improve contact tracing;
  • Detect the presence of coronavirus particles in the air;
  • Determine if individuals are following mitigation strategies, such as social distancing, wearing masks, and washing hands;
  • Measure the health of a geographic area;
  • Control access to locations.

Prof. Anu G. Bourgeois
Dr. Yan Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • health-related monitoring
  • environmental- monitoring
  • wearable sensors
  • privacy-preserving protocols
  • olfactory sensors
  • camera sensors
  • COVID-19

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Published Papers (1 paper)

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Research

18 pages, 2946 KiB  
Article
Internet of Things Based Contact Tracing Systems
by Peng Hu and Philippe Lamontagne
Sensors 2021, 21(21), 7124; https://doi.org/10.3390/s21217124 - 27 Oct 2021
Cited by 4 | Viewed by 2483
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Sensing amidst a Pandemic)
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