Comparative study of the best estimators in a New Modeling Technique Using Wireless Sensor Networks

This paper focuses on a comparative study of a new estimation method applied on a wireless sensor network, installed in a closed space container. We would like to pick out the best method among the existing identification methods such as ARX, ARMAX, OE, BJ and SS. we are looking for a way to reduce power consumption due to measuring and transmitting data in some desired sensor nodes (DSNs) and using the models to predict parameters in a fault diagnosis system. The DSNs are either turned to sleeping mode for reducing batteryconsumption or may be inactive due to the energy depletion. We will do the estimation procedure with the least amount of computation and high accuracy to estimate temperature, relative humidity, and air flow as environmental parameters (EPs) instead of direct measurement. Key-Words: Prediction, estimation, model, temperature, relative humidity, air flow