Empirical Issues of a new Environmental Parameters Modeling Technique Using Wireless Sensor Networks

With the aim of energy management in a wireless sensor network established in a closed space container, this paper introduces a way to decrease the total power consumption due to measuring and transmitting data in a few desired sensor nodes (DSNs). The DSNs either will be turned to sleeping mode for reducing battery-consumption or even they may be inactive due to the energy depletion. We estimate temperature, relative humidity, and air flow as environmental parameters (EPs) instead of the direct measurement. A new technique of the model making and then assessment the validity of the proposed model using some experiments will be investigated. Introduced estimators use linear models between surrounding key sensor nodes (KSNs) and a DSN. These models can be extended for possible use in different applications such as EP-controllers in air conditioning systems as well as the estimator in fault recognition procedures. Key-Words: Temperature, relative humidity, air flow, estimation, grey-box, model