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Energy Modelling in Sensor Networks : Volume 5, Issue 12 (13/06/2007)

By Schmidt, D.

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Book Id: WPLBN0003978376
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Energy Modelling in Sensor Networks : Volume 5, Issue 12 (13/06/2007)  
Author: Schmidt, D.
Volume: Vol. 5, Issue 12
Language: English
Subject: Science, Advances, Radio
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Kuhn, T., Krämer, M., Wehn, N., & Schmidt, D. (2007). Energy Modelling in Sensor Networks : Volume 5, Issue 12 (13/06/2007). Retrieved from

Description: Microelectronic System Design Research Group, University of Kaiserslautern, Germany. Wireless sensor networks are one of the key enabling technologies for the vision of ambient intelligence. Energy resources for sensor nodes are very scarce. A key challenge is the design of energy efficient communication protocols. Models of the energy consumption are needed to accurately simulate the efficiency of a protocol or application design, and can also be used for automatic energy optimizations in a model driven design process. We propose a novel methodology to create models for sensor nodes based on few simple measurements. In a case study the methodology was used to create models for MICAz nodes. The models were integrated in a simulation environment as well as in a SDL runtime framework of a model driven design process. Measurements on a test application that was created automatically from an SDL specification showed an 80% reduction in energy consumption compared to an implementation without power saving strategies.

Energy modelling in sensor networks

Avrora: Avrora Simulator,, 2005.; BelAmI: Bilateral German-Hungarian Collaboration Project on Ambient Intelligence Systems,, 2006.; International Telecommunications Union: Specification and DescriptionLanguage (SDL), ITU-T Recommendation Z.100, August 2002.; Kuhn, T.: MacZ – a QoS MAC Layer for Ambient Intelligence Systems, in: Advances in Pervasive Computing 2006, edited by: Pfeifer, T., Schmidt, A., Woo, W., et. al., Adjunct Proceedings of the 4th International Conference on Pervasive Computing,, Vol. 207, Austrian Computer Society (OCG): Vienna, 244 pp., ISBN 3-85403-207-2, 2006.; MICAz: MICAz ZigBee Series (MPR2400),, 2006.; SAM06: Kuhn, T. and Becker, P.: A Simulator Interconnection Framework for the Accurate Performance Simulation of SDL Models, Springer LNCS 4320, ISBN 3-540-68371-2, 2006.; Senger, R., Marsman, E., and Brown, R.: Methodology for Instruction Level Power Estimation in Pipelined Microsystems,$FILE/senger.pdf, 2005.; SPICE: Simulation Program with Integrated Circuit Emphasis,, 2006.


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