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A New Approach for Modeling Environmental Conditions using Sensor Networks

An approach to estimate environmental conditions (ECs), temperature, relative humidity and air flow in a few desired sensor nodes in a wireless sensor network, slept for reducing battery-consumption or inactive due to either empty batteries or out-of-range is presented. A nonlinear, multivariable model containing the interconnections is extracted and using data of surrounding active sensor nodes is broken to the linear models. Unknown parameters of the model are verified by a multivariable identification method. The proposed approach is independent of the type of ventilation system. It can be used in different applications such as designing model base ECs controllers as well as an estimator in fault diagnosis methods.