Predicting Battery Charge Depletion in Wireless Sensor Networks Using Received Signal Strength Indicator

This article aims to identify an adequate mathemati cal 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 it s behavior and to detect the best moment to replace b atteries in the WSN nodes.