Adaptive transmitter load size using receiver harvested energy prediction by Kalman filter

摘要

Assuming a point-to-point communication between wireless nodes that harvest ambient energy for operation, this work presents a method that uses a Kalman filter to predict the receiver state of charge. This prediction is performed at the transmitter in order to dynamically adjust the number of bits to be sent so as to avoid data loss due to potential receiver battery depletion. Our simulations, using both a simulated and an actual energy profile, show efficient prediction par the Kalman filter and improved transmission efficiency in terms of the number of time slots needed to transmit a given payload.