Next Article in Journal / Special Issue
An Experimental Evaluation of the Reliability of LoRa Long-Range Low-Power Wireless Communication
Previous Article in Journal / Special Issue
Relayer-Enabled Retransmission Scheduling in 802.15.4e LLDN—Exploring a Reinforcement Learning Approach
Article Menu

Export Article

Open AccessArticle
J. Sens. Actuator Netw. 2017, 6(2), 8; doi:10.3390/jsan6020008

Estimating the Lifetime of Wireless Sensor Network Nodes through the Use of Embedded Analytical Battery Models

1
Department of Automation and Systems, UFSC–Federal University of Santa Catarina, Florianópolis 88040-900, Brazil
2
INEGI/INESC-TEC–Faculty of Engineering, University of Porto, Porto 4200-465, Portugal
*
Author to whom correspondence should be addressed.
Received: 30 April 2017 / Revised: 10 June 2017 / Accepted: 13 June 2017 / Published: 15 June 2017
(This article belongs to the Special Issue QoS in Wireless Sensor/Actuator Networks and Systems)
View Full-Text   |   Download PDF [1053 KB, uploaded 20 June 2017]   |  

Abstract

The operation of Wireless Sensor Networks (WSNs) is subject to multiple constraints, among which one of the most critical is available energy. Sensor nodes are typically powered by electrochemical batteries. The stored energy in battery devices is easily influenced by the operating temperature and the discharge current values. Therefore, it becomes difficult to estimate their voltage/charge behavior over time, which are relevant variables for the implementation of energy-aware policies. Nowadays, there are hardware and/or software approaches that can provide information about the battery operating conditions. However, this type of hardware-based approach increases the battery production cost, which may impair its use for sensor node implementations. The objective of this work is to propose a software-based approach to estimate both the state of charge and the voltage of batteries inWSN nodes based on the use of a temperature-dependent analytical battery model. The achieved results demonstrate the feasibility of using embedded analytical battery models to estimate the lifetime of batteries, without affecting the tasks performed by the WSN nodes. View Full-Text
Keywords: WSN; T-KiBaM; battery model; voltage modeling; thermal effect; micro-controller WSN; T-KiBaM; battery model; voltage modeling; thermal effect; micro-controller
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Rodrigues, L.M.; Montez, C.; Budke, G.; Vasques, F.; Portugal, P. Estimating the Lifetime of Wireless Sensor Network Nodes through the Use of Embedded Analytical Battery Models. J. Sens. Actuator Netw. 2017, 6, 8.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Sens. Actuator Netw. EISSN 2224-2708 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top