Paper Info
Title
Empirical study of noise and air quality correlation based on IoT sensory platform approach
Abstract
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.
Year
DOI
Venue
2018
10.1109/i2mtc.2018.8409629
instrumentation and measurement technology conference
Field
DocType
Citations 
Data science,Internet of Things,Control engineering,Air quality index,Correlation,Air pollution,Engineering,Empirical research,Cloud computing,Statistical analysis
Conference
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Majed Alowaidi100.68
Ali Karime2628.27
Mohammed Aljaafrah300.34
Abdulmotaleb El-Saddik42416248.48