MUETSenses: A wireless sensor network based indoor environment monitoring system

A novel approach to the design of a Wireless Sensor network (WSN) based indoor environment monitoring system, which parses data in real time, on demand and periodically is presented. The aim of this system is to monitor indoor environment remotely, through an android application. The system comprises of Crossbow Iris motes, MTS 400 Sensor board, MIB 520 data accusation board designed by UC Berkley and Intel, and a base station to monitor environmental parameters such as light, pressure humidity and temperature. The system exploits mote view software to acquire data from the wireless sensors network. At the back-end, a database has been developed to load the data from mote view and the system pushes data from the database to an android application designed for the system. The system enables users to monitor the indoor environment parameters on their android smartphones.