A CPS based social distancing measuring model using Edge and Fog computing

Abstract

Cyber–physical system (CPS) is one of the leading topics for research in academic and industry fields. CPS is an integrated system built with a collection of computation, communication, control, and physical elements to solve real-life problems. Lots of research is going on CPS, but in today’s point of view, the Covid-19 is one of the most relevant. Nowadays, Covid-19 has become a headache in our society. Social or physical distancing is one of the most useful non-pharmaceutical interventions (NPI) to minimize virus infections. The regular lifestyle of every human being has been changing rapidly. A contactless lifestyle is becoming a necessity day by day. Society is gradually dependent upon smart technological devices for a contactless lifestyle. In the new-normal lifestyle, many new technologies have been introduced. The government also makes some restrictions on human transmission. However, maintaining social distancing is one of the main challenges of our society. There is no such model that effectively helps people to maintain physical distancing. This paper highlights a framework that will guide maintaining physical distance in a social gathering. The proposed CPS-based model is entirely deployed on edge and fog computing architecture. The proposed model calculates the distance among all paired edge devices owned by human beings and informs the user whether the location is safe or not. This fog and edge-based model improves the latency and network usage compared to the cloud computing model.