Abstract
This paper examines the accuracy of software-based on-line energy estimation techniques. It evaluates today’s most widespread energy estimation model in order to investigate whether the current methodology of pure software-based energy estimation running on a sensor node itself can indeed reliably and accurately determine its energy consumption - independent of the particular node instance, the traffic load the node is exposed to, or the MAC protocol the node is running. The paper enhances today’s widely used energy estimation model by integrating radio transceiver switches into the model, and proposes a methodology to find the optimal estimation model parameters. It proves by statistical validation with experimental data that the proposed model enhancement and parameter calibration methodology significantly increases the estimation accuracy.
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Keywords
- Sensor Node
- Wireless Sensor Network
- Ordinary Little Square
- Energy Estimation
- Ordinary Little Square Estimator
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Baar, M., Koeppe, E., Liers, A., Schiller, J.: The ScatterWeb MSB-430 Platform for Wireless Sensor Networks. In: SICS Contiki Workshop (2007)
Boano, C.A., Voigt, T., Tsiftes, N., Mottola, L., Römer, K., Zúñiga, M.A.: Making Sensornet MAC Protocols Robust against Interference. In: Silva, J.S., Krishnamachari, B., Boavida, F. (eds.) EWSN 2010. LNCS, vol. 5970, pp. 272–288. Springer, Heidelberg (2010)
Buettner, M., Gary V. Y., Anderson, E., Han, R.: X-MAC: A Short Preamble MAC Protocol for Duty-cycled Wireless Sensor Networks. In: ACM SenSys, pp. 307–320 (2006)
Draper, N., Smith, H.: Applied Regression Analysis. Wiley Series in Probability and Statistics. Wiley-Interscience, Hoboken (1998)
Dunkels, A., Grönvall, B., Voigt, T.: Contiki - a Lightweight and Flexible Operating System for Tiny Networked Sensors. In: IEEE EmNets, pp. 455–462 (2004), http://www.sics.se/contiki/
Dunkels, A., Osterlind, F., Tsiftes, N., He, Z.: Software-based On-line Energy Estimation for Sensor Nodes. In: IEEE EmNets, pp. 28–32 (2007)
El-Hoiydi, A., Decotignie, J.-D.: WiseMAC: An Ultra Low Power MAC Protocol for Multi-hop Wireless Sensor Networks. In: Nikoletseas, S.E., Rolim, J.D.P. (eds.) ALGOSENSORS 2004. LNCS, vol. 3121, pp. 18–31. Springer, Heidelberg (2004)
Finne, N., Eriksson, J., Tsiftes, N., Dunkels, A., Voigt, T.: Improving Sensornet Performance by Separating System Configuration from System Logic. In: Silva, J.S., Krishnamachari, B., Boavida, F. (eds.) EWSN 2010. LNCS, vol. 5970, pp. 194–209. Springer, Heidelberg (2010)
Halkes, G., Langendoen, K.: Crankshaft: An Energy-Efficient MAC-Protocol for Dense Wireless Sensor Networks. In: Langendoen, K.G., Voigt, T. (eds.) EWSN 2007. LNCS, vol. 4373, pp. 228–244. Springer, Heidelberg (2007)
Haratcherev, I., Halkes, G., Parker, T., Visser, O., Langendoen, K.: PowerBench: a Scalable Testbed Infrastructure for Benchmarking Power Consumption. In: International Workshop on Sensor Network Engineering (IWSNE) (2008)
Hergenröder, A., Horneber, J., Meier, D., Armbruster, P., Zitterbart, M.: Distributed Energy Measurements in Wireless Sensor Networks. In: ACM SenSys, Demo Session (2009)
Hergenröder, A., Wilke, J., Meier, D.: Distributed Energy Measurements in WSN Testbeds with a Sensor Node Management Device (SNMD). In: Müller-Schloer, C., Karl, W., Yehia, S. (eds.) ARCS 2010. LNCS, vol. 5974. Springer, Heidelberg (2010)
Landsiedel, O., Wehrle, K., Goetz, S.: Accurate Prediction of Power Consumption in Sensor Networks. In: IEEE EmNets (2005)
Polastre, J., Hill, J., Culler, D.: Versatile Low Power Media Access for Wireless Sensor Networks. In: ACM SenSys, pp. 95–107 (2004)
ScatterWeb2 OS - Freie Universität Berlin & ScatterWeb GmbH: http://scatterweb.mi.fu-berlin.de/ and http://www.scatterweb.de
Texas Instruments CC1020: Single-Chip FSK/OOK CMOS RF Transceiver
Van Dam, T., Langendoen, K.: An Adaptive Energy Efficient MAC Protocol for Wireless Sensor Networks (TMAC). In: ACM SenSys, pp. 171–180 (2003)
Werner-Allen, G., Swieskowski, P., Welsh, M.: MoteLab: a Wireless Sensor Network Testbed. In: Information Processing in Sensor Networks (IPSN) (2005)
Ye, W., Heidemann, J., Estrin, D.: An Energy Efficient MAC Protocol for Wireless Sensor Networks. In: INFOCOM, pp. 1567–1576 (2002)
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Hurni, P., Nyffenegger, B., Braun, T., Hergenroeder, A. (2011). On the Accuracy of Software-Based Energy Estimation Techniques. In: Marrón, P.J., Whitehouse, K. (eds) Wireless Sensor Networks. EWSN 2011. Lecture Notes in Computer Science, vol 6567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19186-2_4
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DOI: https://doi.org/10.1007/978-3-642-19186-2_4
Publisher Name: Springer, Berlin, Heidelberg
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