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3rd International Conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies, ICRTAC-AIT 2020 ; 806:353-362, 2022.
Article in English | Scopus | ID: covidwho-1626827

ABSTRACT

With the rise of the novel coronavirus pandemic, there has emerged an eminent need for social distancing to flatten the curve of the infected. The world needs to breathe in some time to develop vaccines to fight COVID-19, and time can only be bought through the currency of social distancing. We venture to find a better way to allude coronavirus in disaster struck areas by making use of near sound frequency data transmission (NSDT) along with peer-to-peer (P2P) networking, which would immediately recognize a person at risk in our proximity, hence providing an optimal solution for following social distancing norms and also carry out disaster mitigation. P2P networking and data communication through NSDT technology along with the usage of Aarogya Setu App API is explored to obtain and transmit crucial data and two use case mitigation scenarios were proposed in this work. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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