A Survey on Methods of Collecting Air and Noise Pollution Data Using IoT Sensors Integrated with Cloud Computing

Abstract

Internet of Things (IoT) is a system of instruments that are linked to and are
accessible through the internet. With improved sensors and integration of cloud
technology we can profit from analytics, real-time insights; helping us to make wiser
decisions. The paper discusses the present IoT architectures, implementation methods and
states the evolution stages. This paper investigates the interrelation ship between air and
noise pollution; traffic congestion and noise pollution. We have discussed the various
impacts of prolonged noise and air pollution on mortality rate, observed how different
research have found cardiovascular and strokes to be one of the major issues related to it.
A detailed study of the already present systems using IoT sensors and models, cloud
computing to collect air and noise quality; methods used to compute and work on collected
data has been discussed here