Empirical study of noise and air quality correlation based on IoT sensory platform approach

Internet of Things (IoT) aims to shape our digital daily life from several aspects in the future. In this paper, we present a statistical analysis that aims to explore the correlation degree between two IoT sensory parameters, namely noise and air quality. We have deployed four environmental nodes in the city of Ottawa, Ontario that enabled the capture and transmission of a set of environmental IoT data. The futuristic objective of this work is to help residents to choose their optimal living locations based on their desired environmental preferences. These preferences will be related to noise and air pollution that can affect their health and quality of life in general. We share our initial results of several time portions in our two month study period.