A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies

Nguyen, Cong T.; Saputra, Yuris Mulya; Huynh, Nguyen Van; Nguyen, Ngoc-Tan; Khoa, Tran Viet; Tuan, Bui Minh; Nguyen, Diep N.; Hoang, Dinh Thai; Vu, Thang X.; Dutkiewicz, Eryk; Chatzinotas, Symeon; Ottersten, Bjorn

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 effect- in 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., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice.

Citation

Nguyen, C. T., Saputra, Y. M., Huynh, N. V., Nguyen, N., Khoa, T. V., Tuan, B. M., Nguyen, D. N., Hoang, D. T., Vu, T. X., Dutkiewicz, E., Chatzinotas, S., & Ottersten, B. (2020). A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing—Part I: Fundamentals and Enabling Technologies. IEEE Access, 8, 153479-153507. https://doi.org/10.1109/access.2020.3018140

• Journal Article Type: Article
• Acceptance Date: Aug 13, 2020
• Online Publication Date: Aug 20, 2020
• Publication Date: 2020
• Deposit Date: Mar 29, 2023
• Publicly Available Date: Mar 30, 2023
• Journal: IEEE Access
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Pages: 153479-153507
• DOI: https://doi.org/10.1109/access.2020.3018140
• Keywords: Social distancing, pandemic, COVID-19, wireless, networking, positioning systems, AI, machine learning, data analytics, localization, privacy-preserving, scheduling, incentive mechanism