Abstract
Emerging Wireless Sensor Networks (WSN) consist of spatially distributed autonomous sensors. Although an embedded battery has limited autonomy, most WSNs outperform this drawback by harvesting ambient energy from the environment. Nevertheless, this external energy is very variable and mainly depends on weather evolution. Therefore, including weather at design stage and weather forecasts at runtime is essential for autonomy management. This paper presents a Power Estimator to simulate node autonomy for various weather conditions and locations. This work also addresses the integration of Weather Forecasts in the Dynamic Power Management policy (WF-DPM). These two contributions significantly improve the system scaling and the energy availability prediction to help to achieve better node autonomy duration. Experimental results compared various locations to study the weather impact on the system autonomy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chandrakasan, A.P., Brodersen, R.W.: Low Power Digital CMOS Design. Kluwer Academic Publishers, Dordrecht (1995) ISBN, 0-7923-9576-X
Schmitz, M.T., Al-Hashimi, B.M., Eles, P.: System-Level Design Techniques for Energy-Efficient Embedded Systems. Kluwer Academic Publishers, Dordrecht (2004) ISBN, 1-4020-7750-5
Pedram, M., Rabaey, J.: Power-Aware Design Methodologies. Kluwer Academic Publishers, Dordrecht (2002) ISBN, 1-4020-7152-3
Chee, Y., Koplow, M., Mark, M., Pletcher, N., Seeman, M., Burghardt, F., Steingart, D., Rabaey, J., Wright, P., Sanders, S.: PicoCube: A 1cm3 Sensor Node Powered by Harvested Energy. In: DAC (2008)
Raghunathan, V., Kansal, A., Hsu, J., Friedman, J., Srivastava, M.: Design Considerations for Solar Energy Harvesting Wireless. In: IPSN (2005)
Jiang, X., Polastre, J., Culler, D.: Perpetual Environmentally Powered Sensor Networks. In: IPSN (2005)
Simjee, F.I., Chou, P.H.: Everlast: Longlife Supercapacitor-operated wireless Sensor Node. In: ISLPED (2006)
Chen, M., Rincón-Mora, G.A.: Single Inductor, Multiple Input, Multiple Output (SIMIMO) Power Mixer-Charger-Supply System. In: ISLPED (2007)
Park, C., Chou, P.H.: AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Node. In: IEEE SECON (2006)
http://www.meteociel.fr/ (last visited May 25, 2011)
http://re.jrc.ec.europa.eu/pvgis/ (last visited May 25, 2011)
Lorentz, E.: The essence of chaos. The Jessie and John Danz Lecture Series. University of Washington Press (1993) ISBN 0-295 97514-8
Benini, L., Bruni, D., Macii, A., Macii, E., Poncino, M.: Discharge Current Steering for Battery Lifetime Optimization. IEEE Transactions on Computers 52(8) (2003)
Erdinc, O., Vural, B., Uzunoglu, M.: A dynamic lithium-ion battery model considering the effects of temperature and capacity fading. In: International Conference on Clean Electrical Power, p. 383 (2009)
Ferry, N., Ducloyer, S., Julien, N., Jutel, D.: Power/Energy Estimator for Designing WSN Nodes with Ambient Energy Harvesting Feature. EURASIP Journal on Embedded Systems 2011 (2011)
Laurent, J., Senn, E., Julien, N., Martin, E.: Functional Level Power Analysis: An Efficient Approach for Modeling the Power Consumption of Complex Processors. In: DATE (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ferry, N., Ducloyer, S., Julien, N., Jutel, D. (2011). Energy Estimator for Weather Forecasts Dynamic Power Management of Wireless Sensor Networks. In: Ayala, J.L., García-Cámara, B., Prieto, M., Ruggiero, M., Sicard, G. (eds) Integrated Circuit and System Design. Power and Timing Modeling, Optimization, and Simulation. PATMOS 2011. Lecture Notes in Computer Science, vol 6951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24154-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-24154-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24153-6
Online ISBN: 978-3-642-24154-3
eBook Packages: Computer ScienceComputer Science (R0)