Skip to main content
SpringerLink
Log in
Book cover

Real-World Wireless Sensor Networks pp 217–229Cite as

Energy Parameter Estimation in Solar Powered Wireless Sensor Networks

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 281))

Abstract

The operation of solar powered wireless sensor networks is associated with numerous challenges. One of the main challenges is the high variability of solar power input and battery capacity, due to factors such as weather, humidity, dust and temperature. In this article, we propose a set of tools that can be implemented onboard high power wireless sensor networks to estimate the battery condition and capacity as well as solar power availability. These parameters are very important to optimize sensing and communications operations and maximize the reliability of the complete system. Experimental results show that the performance of typical Lithium Ion batteries severely degrades outdoors in a matter of weeks or months, and that the availability of solar energy in an urban solar powered wireless sensor network is highly variable, which underlines the need for such power and energy estimation algorithms.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    This hypothesis assumes that the current drawn by the microcontroller and its peripherals is independent of their temperature.

References

  1. Ceriotti, M., Mottola, L., Picco, G.P., Murphy, A.L., Guna, S., Corra, M., Pozzi, M., Zonta, D., Zanon, P.: Monitoring heritage buildings with wireless sensor networks: the torre aquila deployment. In: Proceedings of the International Conference on Information Processing in Sensor Networks. IEEE Compute. Soc. 2009, 277–288 (2009)

    Google Scholar 

  2. Van Dam, T., Langendoen, K.: An adaptive energy-efficient mac protocol for wireless sensor networks. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, ACM, New York pp. 171–180 (2003)

    Google Scholar 

  3. Seada, K., Zuniga, M., Helmy, A., Krishnamachari, B.: Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks. In: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, ACM, New York pp. 108–121 (2004)

    Google Scholar 

  4. Huang, H., Hu, G., Yu, F.: Energy-aware geographic routing in wireless sensor networks with anchor nodes. Int. J Commun. Syst. 26(1), 100–113 (2013)

    Article  Google Scholar 

  5. Alippi, C., Anastasi, G., Di Francesco, M., Roveri, M.: Energy management in wireless sensor networks with energy-hungry sensors. IEEE Instrum. Meas. Mag. 12(2), 16–23 (2009)

    Article  Google Scholar 

  6. Feeney, L.M., Andersson, L., Lindgren, A., Starborg, S., Ahlberg Tidblad, A.: A testbed for measuring battery discharge behavior. In: Proceedings of the 7th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, ACM, New York pp. 91–92 (2012)

    Google Scholar 

  7. Fonseca, R., Dutta, P., Levis, P., Stoica, I.: Quanto: Tracking energy in networked embedded systems. In: OSDI, vol. 8, pp. 323–338 (2008)

    Google Scholar 

  8. Dunkels, A., Osterlind, F., Tsiftes, N., He, Z.: Software-based on-line energy estimation for sensor nodes. In: Proceedings of the 4th Workshop on Embedded Networked Sensors, ACM, New York pp. 28–32 (2007)

    Google Scholar 

  9. Saha, B., Goebel, K.: Modeling li-ion battery capacity depletion in a particle filtering framework. In: Proceedings of the Annual Conference of the Prognostics and Health Management Society (2009)

    Google Scholar 

  10. Park, C., Lahiri, K., Raghunathan, A.: Battery discharge characteristics of wireless sensor nodes: an experimental analysis. Power 20, 21 (2005)

    Google Scholar 

  11. Raghunathan, V., Kansal, A., Hsu, J., Friedman, J., Srivastava, M.: Design considerations for solar energy harvesting wireless embedded systems. In: Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, IEEE Press, 64 (2005)

    Google Scholar 

  12. Bouabdallah, F., Bouabdallah, N., Boutaba, R.: On balancing energy consumption in wireless sensor networks. IEEE Trans. Veh. Technol. 58(6), 2909–2924 (2009)

    Article  Google Scholar 

  13. Sikha, G., White, R.E., Popov, B.N.: A mathematical model for a lithium-ion battery/electrochemical capacitor hybrid system. J Electrochem. Soc. 152(8), A1682–A1693 (2005)

    Article  Google Scholar 

  14. Tsai, H.L.: Insolation-oriented model of photovoltaic module using matlab/simulink. Solar Energy 84(7), 1318–1326 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. King Abdullah University of Science and Technology, Thuwal, MK, 23955-6900, Saudi Arabia

    Mustafa Mousa & Christian Claudel

Authors
  1. Mustafa Mousa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Christian Claudel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mustafa Mousa .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Koen Langendoen

  2. Queensland Centre for Advanced Technologies (QCAT), CSIRO ICT Centre, Pullenvale, Queensland, Australia

    Wen Hu

  3. Computer Engineering and Networks Laboratory ETZ G81, ETH Zurich, Zurich, Switzerland

    Federico Ferrari

  4. Computer Engineering and Networks Laboratory ETZ G81, ETH Zurich, Zurich, Switzerland

    Marco Zimmerling

  5. Dipartimento di Elettronica ed Informazione, Politecnico di Milano, Milan, Italy

    Luca Mottola

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Mousa, M., Claudel, C. (2014). Energy Parameter Estimation in Solar Powered Wireless Sensor Networks. In: Langendoen, K., Hu, W., Ferrari, F., Zimmerling, M., Mottola, L. (eds) Real-World Wireless Sensor Networks. Lecture Notes in Electrical Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-03071-5_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03071-5_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03070-8

  • Online ISBN: 978-3-319-03071-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation