Integration of IoT and Fog Computing for the Development of COVID-19 Cluster Tracking System in Urban Cities

Abstract

AbstractIn recent years, the Internet of Things (IoT) has gained compelling support for studies as a new research topic in a wide range of academic and industrial disciplines, especially in health care. The IoT revolution is reshaping contemporary healthcare systems by integrating technical, economic, and social perspectives. The emerging global pandemic challenges caused by the novel coronavirus (SARS-CoV-2) have been the biggest global public health issue since 2019. At the time this chapter was written, more than 61.8 million cases worldwide had already been diagnosed with COVID-19. In the sense of COVID-19, IoT-enabled devices or applications have the potential to recognize and monitor COVID-19 patients. Since there is no new development introduced to recognize COVID-19 clusters using the IoT and Fog computing up to date, this chapter provides a potential solution for identifying and monitoring clusters in the 1st, 2nd, and 3rd phases of the pandemic. Technologies regarding Fog computing, smart sensors, and IoT-based techniques have been used to build the framework. We have observed that the findings are very promising with high-performance accuracy.KeywordsCOVID-19Cluster trackingFog computingInternet of Things (IoT)Network protocolSmart health careUrban IoT