Nguyen, Thanh Cong and Yuris Mulya, Saputra and Huynh, Van Nguyen 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 A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing——Part II: Emerging Technologies and Open Issues. IEEE Access . ISSN 2169-3536
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Abstract
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.
| Item Type: | Article |
|---|---|
| Subjects: | Electronics and Communications Information Technology (IT) ISI-indexed journals |
| Divisions: | Advanced Insitute of Engineering and Technology (AVITECH) Faculty of Electronics and Telecommunications (FET) |
| Depositing User: | A/Prof. Linh Trung Nguyen |
| Date Deposited: | 25 Dec 2020 10:22 |
| Last Modified: | 26 Dec 2020 05:21 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4333 |
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