Towards an IoT Architecture to Pervasive Environments Through Design Science

From a computational perspective, the Covid-19 pandemic experienced around the world shows different lessons for society. Among the lessons, collecting data efficiently and effectively in pervasive environments proved to be one of the greatest challenges. Citizens and government agencies need data that portray the reality of the situation experienced in different environments, such as university campuses, neighborhoods and cities. This article presents as a contribution a computational architecture for the development of applications for pervasive environments using IoT and based on simulation. This research was carried out based on design science research through our proposed architecture. Experimental results showed interesting scenarios that could be differentiated for government agencies, considering IoT sensors, during a pandemic such as Covid-19. This work presents a scenario based on the contamination of Covid-19 in a pervasive and intelligent environment. In addition, the architectural approach provides support to scenarios visualization, which allows interesting parameters to decisions.