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Dynamic node lifetime estimation for wireless sensor networks

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journal contribution
posted on 01.02.2017, 14:08 by Wilawan Rukpakavong, Lin GuanLin Guan, Iain PhillipsIain Phillips
Wireless sensor networks (WSNs) consist of a large number of nodes each with limited battery power. As networks of these nodes are usually deployed unattended, network lifetime becomes an important concern. This paper proposes a novel, feasible, dynamic approach for node lifetime estimation that works for both static and dynamic loads. It covers several factors that have an impact on node lifetime, including battery type, model, brand, self-discharge, discharge rate, age, and temperature. The feasibility of the proposed scheme is evaluated by using the real testbed experiments with two wireless sensor platforms: Mica2 and N740 NanoSensor, two operating systems: TinyOS and Contiki, and different brands of alkaline and nickel-metal-hydride batteries. The deviation of the proposed estimation is in the range of -3.5% -2.5%. Three major contributions are presented in this paper: (1) the impact factors on node lifetime; (2) lifetime equations for any starting voltage, ageing, charge cycles, and temperatures; and (3) the dynamic node lifetime estimation technique, which is proposed and implemented on real hardware and software platforms in WSNs.

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Sensors Journal

Volume

14

Issue

5

Pages

1370 - 1379

Citation

RUKPAKAVONG, W., GUAN, L. and PHILLIPS, I., 2014. Dynamic node lifetime estimation for wireless sensor networks. IEEE Sensors Journal, 14 (5), pp.1370-1379.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/12/2013

Publication date

2013-12-18

Notes

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

ISSN

1530-437X

eISSN

1558-1748

Language

en