IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

作者: Musa Ndiaye , Stephen S Oyewobi , Adnan M Abu-Mahfouz , Gerhard P Hancke , Anish M Kurien

DOI: 10.1109/ACCESS.2020.3030090

关键词:

摘要: The novel coronavirus (COVID-19), declared by the World Health Organization (WHO) as a global pandemic, has brought with it changes to general way of life. Major sectors world industry and economy have been affected Internet Things (IoT) management framework is no exception in this regard. This article provides an up date survey on how pandemic such COVID-19 IoT technologies. It looks at contributions that associated sensor technologies made towards virus tracing, tracking spread mitigation. challenges deployment hardware face rapidly spreading looked into part review article. effects evolution architectures also addressed, leading likely outcomes future implementations. In general, insight advancement sensor-based E-health pandemics. answers question shaped networks.

参考文章(65)
Ensheng Dong, Hongru Du, Lauren Gardner, An interactive web-based dashboard to track COVID-19 in real time. Lancet Infectious Diseases. ,vol. 20, pp. 533- 534 ,(2020) , 10.1016/S1473-3099(20)30120-1
M N Mohammed, S F Desyansah, S Al-Zubaidi, E Yusuf, An internet of things-based smart homes and healthcare monitoring and management system: Review Journal of Physics: Conference Series. ,vol. 1450, pp. 012079- ,(2020) , 10.1088/1742-6596/1450/1/012079
Yuan Lai, Wesley Yeung, Leo Anthony Celi, Urban Intelligence for Pandemic Response: Viewpoint. JMIR public health and surveillance. ,vol. 6, ,(2020) , 10.2196/18873
Rama Krishna Reddy Kummitha, Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission. Government Information Quarterly. ,vol. 37, pp. 101481- 101481 ,(2020) , 10.1016/J.GIQ.2020.101481
Raju Vaishya, Mohd Javaid, Ibrahim Haleem Khan, Abid Haleem, Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews. ,vol. 14, pp. 337- 339 ,(2020) , 10.1016/J.DSX.2020.04.012
Ying Zhou, Lingling Wang, Lieyun Ding, Zhouping Tang, Intelligent technologies help operating mobile cabin hospitals effectively cope with COVID-19 Frontiers of Engineering Management. ,vol. 7, pp. 459- 460 ,(2020) , 10.1007/S42524-020-0113-5
Mohd Javaid, Abid Haleem, Raju Vaishya, Shashi Bahl, Rajiv Suman, Abhishek Vaish, Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews. ,vol. 14, pp. 419- 422 ,(2020) , 10.1016/J.DSX.2020.04.032
Nuria Oliver, Bruno Lepri, Harald Sterly, Renaud Lambiotte, Sébastien Deletaille, Marco De Nadai, Emmanuel Letouzé, Albert Ali Salah, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas de Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N Pham, Frédéric Pivetta, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan Verhulst, Patrick Vinck, Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances. ,vol. 6, ,(2020) , 10.1126/SCIADV.ABC0764