Reference : A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Pa...

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/45099

Title :	A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part II: Emerging Technologies and Open Issues
Language :	English
Author, co-author :	Nguyen, Cong T. []
	Saputra, Yuris M. []
	Nguyen, Huynh Van []
	Nguyen, Ngoc-Tan []
	Bui, Minh Tuan []
	Dinh, Thai Hoang []
	Nguyen, Diep N. []
	Vu, Thang Xuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Dutkiewicz, Eryk []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Aug-2020
Journal title :	IEEE Access
Publisher :	Institute of Electrical and Electronics Engineers
Peer reviewed :	Yes (verified by ORBilu)
Audience :	International
ISSN :	2169-3536
City :	Piscataway
Country :	NJ
Keywords :	[en] social distancing ; COVID-19 ; machine learning
Abstract :	[en] This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In Part I, an extensive background of social distancing is provided, and enabling wireless technologies are thoroughly surveyed. In this Part II, emerging technologies such as machine learning, computer vision, thermal, ultrasound, etc., are introduced. These technologies open many new solutions and directions to deal with problems in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. Finally, we discuss open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice. As an example, instead of reacting with ad-hoc responses to COVID-19-like pandemics in the future, smart infrastructures (e.g., next-generation wireless systems like 6G, smart home/building, smart city, intelligent transportation systems) should incorporate a pandemic mode in their standard architectures/designs.
Permalink :	http://hdl.handle.net/10993/45099

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	Fulltext file(s): File Commentary Version Size Access Open access SurveyCovid-2.pdf Publisher postprint 6.3 MB View/Open

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