An expert system-based IoT system for minimisation of air pollution in developing countries

Abstract

Measurements of major contributing sources like carbon dioxide (CO2), nitrogen dioxide (NO2), sulphur dioxide (SO2) in developing countries have been major issues with respect to their significance to human health. This paper proposes a new approach using Internet-of-Things (IoT) to measure and control air pollution in developing countries. Various sensors related to temperature, humidity, smoke have been used to collect data. These data are sent to the central server through an access point. Numerous techniques have been used on these stored data to investigate the increase in the levels of pollution, temperature and other parameters that cause air pollution. If they are above danger levels, then an alert signal will be sent to the whole city and the precautionary measures that need to be taken by the citizens are informed. The proposed IoT model has shown superior performance compared to related works concerning factors such as CO2, NO2.