eprintid: 4332
rev_number: 10
eprint_status: archive
userid: 17
dir: disk0/00/00/43/32
datestamp: 2020-12-25 10:12:57
lastmod: 2020-12-25 10:12:57
status_changed: 2020-12-25 10:12:57
type: article
metadata_visibility: show
creators_name: Nguyen, Thanh Cong
creators_name: Yuris Mulya, Saputra
creators_name: Nguyen, Ngoc Tan
creators_name: Tran, Viet Khoa
creators_name: Bui, Minh Tuan
creators_name: Diep, Nguyen
creators_name: Dinh, Thai Hoang
creators_name: Vu, Xuan Thang
creators_name: Eryk, Dutkiewicz
creators_name: Symeon, Chatzinotas
creators_name: Bjorn, Ottersten
creators_id: YurisMulya.Saputra@student.uts.edu.au
creators_id: nguyen.tan170@gmail.com
creators_id: khoatv.uet@vnu.edu.vn
creators_id: tuanbm.uet@vnu.edu.vn
creators_id: thang.vu85@gmail.com
creators_id: eryk.dutkiewicz@uts.edu.au
title: A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies
ispublished: pub
subjects: ECE
subjects: IT
subjects: isi
divisions: avitech
divisions: fac_fet
abstract: Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses such as COVID-19. By minimizing the close physical contact among people, we can reduce the chances of catching the virus and spreading it across the community. 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 this Part I, we provide a comprehensive background of social distancing including basic concepts, measurements, models, and propose various practical social distancing scenarios. We then discuss enabling wireless technologies which are especially effectin social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. The companion paper Part II surveys other emerging and related technologies, such as machine learning, computer vision, thermal, ultrasound, etc., and discusses open issues and challenges (e.g., privacypreserving, scheduling, and incentive mechanisms) in implementing social distancing in practice.
date: 2020-09-01
date_type: published
publisher: IEEE
official_url: https://ieeexplore.ieee.org/abstract/document/9172058/
id_number: 10.1109/ACCESS.2020.3018140
full_text_status: public
publication: IEEE Access
volume: 8
pagerange: 153479-153507
refereed: TRUE
issn: 2169-3536
citation:   Nguyen, Thanh Cong and Yuris Mulya, Saputra and Nguyen, Ngoc Tan and Tran, Viet Khoa and Bui, Minh Tuan and Diep, Nguyen and Dinh, Thai Hoang and Vu, Xuan Thang and Eryk, Dutkiewicz and Symeon, Chatzinotas and Bjorn, Ottersten  (2020) A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies.  IEEE Access, 8 .   pp. 153479-153507.  ISSN 2169-3536     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4332/1/Part%20I%20Fundamentals.pdf