Predicting Battery Charge Depletion in Wireless Sensor Networks Using Received Signal Strength Indicator
- 1 Pontifical Catholic University of Campinas, Brazil
Abstract
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.
DOI: https://doi.org/10.3844/jcssp.2013.821.826
Copyright: © 2013 Inacio Henrique Yano, Vitor ChavesDe Oliveira, Eric Alberto de Mello Fagotto, Alexandre De Assis Mota and Lia Toledo Moreira Mota. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- 3,626 Views
- 3,462 Downloads
- 6 Citations
Download
Keywords
- RSSI
- Battery Discharge
- System Identification
- Wireless Sensor Networks
- Mathematical Model
- ARMA