Wireless Technologies for Social Distancing in the Time of COVID-19: Literature Review, Open Issues, and Limitations.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
17 Mar 2022
Historique:
received: 13 12 2021
revised: 29 01 2022
accepted: 02 02 2022
entrez: 26 3 2022
pubmed: 27 3 2022
medline: 31 3 2022
Statut: epublish

Résumé

This research aims to provide a comprehensive background on social distancing as well as effective technologies that can be used to facilitate the social distancing practice. Scenarios of enabling wireless and emerging technologies are presented, which are especially effective in monitoring and keeping distance amongst people. In addition, detailed taxonomy is proposed summarizing the essential elements such as implementation type, scenarios, and technology being used. This research reviews and analyzes existing social distancing studies that focus on employing different kinds of technologies to fight the Coronavirus disease (COVID-19) pandemic. This study main goal is to identify and discuss the issues, challenges, weaknesses and limitations found in the existing models and/or systems to provide a clear understanding of the area. Articles were systematically collected and filtered based on certain criteria and within ten years span. The findings of this study will support future researchers and developers to solve specific issues and challenges, fill research gaps, and improve social distancing systems to fight pandemics similar to COVID-19.

Identifiants

pubmed: 35336484
pii: s22062313
doi: 10.3390/s22062313
pmc: PMC8953680
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Sallar Salam Murad (SS)

Institute of Informatics and Computing in Energy, University Tenaga Nasional, Kajang 43000, Malaysia.

Salman Yussof (S)

Institute of Informatics and Computing in Energy, University Tenaga Nasional, Kajang 43000, Malaysia.

Rozin Badeel (R)

Department of Network, Parallel & Distributed Computing, University Putra Malaysia, Seri Kembangan 43400, Malaysia.

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Classifications MeSH