Air quality monitoring and prediction using internet of things based frame works and cloud services

Abstract

This thesis deals with two of the most important mapping aspects of air quality monitoring newlinein urban areas: Data collection and storage in cloud servers using IoT frameworks and newlinesubsequently, determining the security and privacy of data stored over cloud servers. In newlinethis study both the objectives have been dealt with proven computational approaches. The newlinemotivation behind the objectives stemmed from a very appalling problem i.e. death of over newline1.2 million people every year because of air pollution. newlineThe root cause of the problem reveals several contributing factors, but the one factor which newlinecan be isolated, is the impact of industrialization and lack of awareness among common newlinepeople. The activities of common man are at the helm of any kind of climate change and newlinehave a major impact on environment pollution. This necessitates that people should be newlinemotivated enough to have the required impact on environment and especially onto quality newlineof air. In this context two aspects that are of paramount importance for air quality are: newlinehaving a proper monitoring system at the right place that will capture accurate data related newlineto air quality parameters and generating reports and sending alerts along with data security. newlineThe research is conducted using various parameters related to air quality in urban areas. In newlinethe wake of the two aspects mentioned above an IoT based carbon monitoring model was newlineproposed to optimally collect all relevant data using appropriate sensors and send it to newlinecloud servers or local storage devices for further analysis and prediction. newline