چکیده (انگلیسی):

This article aims to identify an adequate mathematical model to predict battery power depletion at the nodes
of a Wireless Sensor Network (WSN), by analyzing the Received Signal Strength Indicator (RSSI). Six
general models were tested, the simplest Average model, Linear Regression model, Autoregressive (AR)
models and Autoregressive Moving Average (ARMA) models.The selected model (AR) presented a low
absolute mean residue and adequately represents the charge depletion process, permitting to predict its
behavior and to detect the best moment to replace batteries in the WSN nodes.

Model, ARMA