Skip to main content

Characterizing Mote Performance: A Vector-Based Methodology

  • Conference paper
  • 1773 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4913))

Abstract

Sensors networks instrument the physical space using motes that run network embedded programs thus acquiring, processing, storing and transmitting sensor data. The motes commercially available today are large, costly and trade performance for flexibility and ease of programming. New generations of motes are promising to deliver significant improvements in terms of power consumption and price — in particular motes based on System-on-a-chip. The question is how do we compare mote performance? How to find out which mote is best suited for a given application? In this paper, we propose a vector-based methodology for benchmarking mote performance. Our method is based on the hypothesis that mote performance can be expressed as the scalar product of two vectors, one representing the mote characteristics, and the other representing the application characteristics. We implemented our approach in TinyOS 2.0 and we present the details of our implementation as well as the result of experiments obtained on commercial motes from Sensinode. We give a quantitative comparison of these motes, and predict the performance of a data acquisition application.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gwanali, O., Jang, K.Y., Paek, J., Vieira, M., Govindan, R., Greenstein, B., Joki, A., Estrin, D., Kohler, E.: The Tenet Architecture for Tiered Sensor Networks. In: Sensys 2006. Proc. ACM Intl. Conference on Embedded Networked Sensor Systems (2006)

    Google Scholar 

  2. Mueller, R., Alonso, G., Kossmann, D.: SwissQM: Next Generation Data Processing in Sensor Networks. In: Third Biennial Conference on Innovative Data Systems Research

    Google Scholar 

  3. Shnayder, V., Hempstead, M., Chen, B.-r., Welsh, M.: PowerTOSSIM: Efficient Power Simulation for TinyOS Applications. In: Sensys 2004. Proc. ACM Intl. Conference on Embedded Networked Sensor Systems (2004)

    Google Scholar 

  4. Seltzer, M., Krinsky, D., Smith, K., Zhang, X.: The Case for Application-Specific Benchmarking. In: Workshop on Hot Topics in Operating Systems (1999)

    Google Scholar 

  5. Handziski, V., Polastre, J., Hauer, J.-H., Sharp, C., Wolisz, A., Culler, D.: Flexible Hardware Abstraction for Wireless Sensor Networks. In: Proc. 2nd European Workshop on Wireless Sensor Networks (EWSN) (2005)

    Google Scholar 

  6. Leopold, M.: Creating a New Platform for TinyOS 2.x Technical Report 07/09, Depth. of Computer Science, University of Copenhagen (2007)

    Google Scholar 

  7. Beutel, J., Dyer, M., Yücel, M., Thiele, L.: Development and Test with the Deployment-Support Network. In: Langendoen, K., Voigt, T. (eds.) EWSN 2007. LNCS, vol. 4373, Springer, Heidelberg (2007)

    Google Scholar 

  8. Thiele, L., Wandeler, E.: Performance Analysis of Distributed Embedded Systems. In: The Embedded Systems Handbook. CRC Press, Boca Raton, USA (2004)

    Google Scholar 

  9. Beutel, J.: Metrics for Sensor Network Platforms. In: REALWSN 2006. Proc. ACM Workshop on Real-World Wireless Sensor Networks (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Roberto Verdone

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Leopold, M., Chang, M., Bonnet, P. (2008). Characterizing Mote Performance: A Vector-Based Methodology. In: Verdone, R. (eds) Wireless Sensor Networks. EWSN 2008. Lecture Notes in Computer Science, vol 4913. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77690-1_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77690-1_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77689-5

  • Online ISBN: 978-3-540-77690-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics