Energy efficiency analysis of an RLS-based adaptive signal processing algorithm for energy aware sensor networks

A joint source coding and RLS-based adaptive signal processing approach that exploits the inherent correlations among the sensor data, in order to improve energy efficiency of low-power wireless sensor networks is proposed. The energy efficiency is achieved by reducing the transmission requirements from sensors. A semi-analytical technique is presented in order to determine the energy-efficiency of the proposed scheme taking into account both communications and circuit power consumptions. The numerical results obtained with real sensor data show that the proposed scheme offers significant energy savings compared to previously proposed schemes.