Cluster Segregation for Indoor and Outdoor Environmental Monitoring System

In this paper we describe an environmental system that has been developed to provide monitoring of pollutants. Unlike other work in the literature this system allows the collection and location-pinning of data to be carried out indoors as well as outdoors. The mixed indoor and outdoor data collected from different users can be classified into individual category using K-Means algorithm for further data analysis and visualization. Additionally implemented on a smartphone, such system could provide essential information on the air quality in a system, and feed data into an overall monitoring system as well as provide spot information to the user.