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Title: Covid-19 context-aware WSN approach
Authors: Zineb Aarab, Asmae El Ghazi, Salma El Fellah, Salwa Lagdali, Maryam Lafkih, Achraf Lyazidi
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2021
Volume: 16
Issue: 7
Language: English
The apparition of the novel SARS 2 or Covid-19 pandemic and its level of infectiousness as well as its status as a global pandemic have upset the human’s life. The difficulty of this disease is its rapid evolution through people contact. All means of development, transportation, communication, industrial, economic and social revolutions and the emergence of advanced urbanization have been affected by covid-19 pandemic. Moreover, in the absence of a vaccine, countries are forced to revolutionize their response and preparedness policies to health emergencies and compel themselves to the new global dynamic. Wireless sensor networks (WSNs), with a context-awareness sensing ability, can greatly improve the way such devices work, both in terms of its accuracy and efficiency. As it is known, WSNs are highly distributed self-organized systems which comprise a large number of resource constrained sensor nodes. This paper proposes a covid-19 context-aware WSN approach to detect affected persons of Covid-19, described by its architecture and different emerging cases.
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