Air Quality Predictor to Reduce Health Risks and Global Warming

The increase in the pollution of air has led to the generation of many health risks. In the present-day much study has been going on to analyse the standard of air circulated in atmosphere has incited. The Inter-networking of Things (IoT) is been used vastly in various domains to boost the standard of the life of people. This paper describes the Internet of Things (IoT) integrated with low-cost sensor networking for monitoring the quality of air. The sensor networks helps in accumulating the values of each component of air. Considering the difficulty of air quality prediction, an ETM model has been proposed. Firstly, a single factor ETM model is designed which obtain the prediction value of each air component. Then, an ETM model with multifactor is designed. The ETM model considers important factors like data on the surrounding environment and weather data. The integrating booster integrates the two models. The results are obtained by assembling the prediction from the sub-nodes.