Accurate Online Estimation of Battery Lifetime for Wireless Sensors Network

Emmanuel Nataf, Olivier Festor

Abstract

Battery is a major hardware component of every device in a wireless sensor network. Most of them have no power supply and are generally deployed for a long time. Investigations have been done on battery physical models and their adaptation to sensors. We present an adaptation and instanciation of such a model on a real sensor operating system and how architectural constraints have been considered. Experiments have been made in order to test the impact of several parameters on the battery lifetime.

References

  1. Buettner, M., Yee, G. V., Anderson, E., and Han, R. (2006). X-mac: a short preamble mac protocol for duty-cycled wireless sensor networks. In Proceedings of the 4th international conference on Embedded networked sensor systems, SenSys 7806, pages 307-320, New York, NY, USA. ACM.
  2. des Roziers, C., Chelius, G., Ducrocq, T., Fleury, E., Fraboulet, A., Gallais, A., Mitton, N., Noel, T., Valentin, E., and Vandaele, J. (2011). Two demos using senslab: Very large scale open wsn testbed. In International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), pages 1-2.
  3. Dunkels, A. (2011). The contikimac radio duty cycling protocol. SICS Technical Report T2011:13 ISSN 1100- 3154, Swedish Institute of Computer Science.
  4. Dunkels, A., Osterlind, F., Tsiftes, N., and He, Z. (2007). Software-based on-line energy estimation for sensor nodes. In Proceedings of the 4th workshop on Embedded networked sensors, EmNets 7807, pages 28-32, New York, NY, USA. ACM.
  5. Ed., T. W. (2012). Rpl: Ipv6 routing protocol for low-power and lossy networks. RFC 6550, Internet Engineering Task Force.
  6. Kerasiotis, F., Prayati, A., Antonopoulos, C., Koulamas, C., and Papadopoulos, G. (2010). Battery lifetime prediction model for a wsn platform. In Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM), pages 525 - 530. IEEE.
  7. Osterlind, F., Dunkels, A., Eriksson, J., Finne, N., and Voigt, T. (2006). Cross-level sensor network simulation with cooja. In Local Computer Networks, Proceedings 2006 31st IEEE Conference on, pages 641 - 648.
  8. Panigrahi, D., Dey, S., Rao, R., Lahiri, K., Chiasserini, C., and Raghunathan, A. (2001). Battery life estimation of mobile embedded systems. In Proceedings of the The 14th International Conference on VLSI Design (VLSID 7801), VLSID 7801, pages 57 - 63, Washington, DC, USA. IEEE Computer Society.
  9. Rahmé, J., Fourty, N., Al Agha, K., and Van den Bossche, A. (2010). A recursive battery model for nodes lifetime estimation in wireless sensor networks. In Wireless Communications and Networking Conference (WCNC), pages 1 - 6. IEEE.
  10. Rakhmatov, D. and Vrudhula, S. (2001). An analytical high-level battery model for use in energy management of portable electronic systems. In Computer Aided Design, 2001. ICCAD 2001. IEEE/ACM International Conference on, pages 488 - 493.
  11. Rakhmatov, D. and Vrudhula, S. (2003). Energy management for battery-powered embedded systems. ACM Trans. Embed. Comput. Syst., 2(3):277-324.
  12. Rakhmatov, D., Vrudhula, S., and Wallach, D. (2002). Battery lifetime prediction for energy-aware computing. In Proceedings of the 2002 International Symposium on Low Power Electronics and Design (ISLPED'02), pages 154 - 159. ACM.
  13. Rao, R., Vrudhula, S., and Rakhmatov, D. (2003). Battery modeling for energy aware system design. Computer, 36(12):77 - 87.
  14. Sausen, P. S., Spohn, M. A., and Perkusich, A. (2010). Broadcast routing in wireless sensor networks with dynamic power management and multi-coverage backbones. Inf. Sci., 180(5):653-663.
  15. Seungki, H., Daeyoung, K., and Jae-eon, K. (2005). Battery aware real time task scheduling in wireless sensor networks. In 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, pages 269 - 272. IEEE.
  16. Timmermann, D. (2003). Simulation of mobile wireless networks with accurate modelling of non-linear battery effects. In In proceedings of Applied simulation and modeling (ASM).
  17. Vasseur Ed., P., Kim Ed., M., Pister, K., Dejean, N., and Barthel, D. (2012). Routing metrics used for path calculation in low-power and lossy networks. RFC 6551, Internet Engineering Task Force.
  18. Zhang, J., Ci, S., Sharif, H., and Alahmad, M. (2010). An enhanced circuit-based model for single-cell battery. In Applied Power Electronics Conference and Exposition (APEC), 2010 Twenty-Fifth Annual IEEE, pages 672 - 675.
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Paper Citation


in Harvard Style

Nataf E. and Festor O. (2013). Accurate Online Estimation of Battery Lifetime for Wireless Sensors Network . In Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-45-7, pages 59-64. DOI: 10.5220/0004312500590064


in Bibtex Style

@conference{sensornets13,
author={Emmanuel Nataf and Olivier Festor},
title={Accurate Online Estimation of Battery Lifetime for Wireless Sensors Network},
booktitle={Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2013},
pages={59-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004312500590064},
isbn={978-989-8565-45-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Accurate Online Estimation of Battery Lifetime for Wireless Sensors Network
SN - 978-989-8565-45-7
AU - Nataf E.
AU - Festor O.
PY - 2013
SP - 59
EP - 64
DO - 10.5220/0004312500590064