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Characterizing the energy efficiency of localization algorithms in wireless sensor networks
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Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents
Leipzig, Germany
SESSION: MAC, routing and localization (Wireless Sensor Networks symp.) table of contents
Pages 839-843  
Year of Publication: 2009
ISBN:978-1-60558-569-7
Authors
Dominik Lieckfeldt  Institute of Applied Microelectronics and Computer Engineering, Rostock, Germany
Jiaxi You  Institute of Applied Microelectronics and Computer Engineering, Rostock, Germany
Jakob Salzmann  Institute of Applied Microelectronics and Computer Engineering, Rostock, Germany
Ralf Behnke  Institute of Applied Microelectronics and Computer Engineering, Rostock, Germany
Dirk Timmermann  Institute of Applied Microelectronics and Computer Engineering, Rostock, Germany
Sponsors
ACM: Association for Computing Machinery
: Wiley-Blackwell
Publisher
ACM  New York, NY, USA
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ABSTRACT

We propose a metric to characterize the energy efficiency of range-based localization algorithms in wireless sensor networks. The metric proposed differs from previous approaches in that it is bounded and supports objective comparison of localization algorithms using simulations. The goal of the current work is to show that our metric achieves expected results for well-known localization algorithms and, therefore, can be used to characterize and compare the energy efficiency.

Simulation results for energy efficiency show that maximizing the local likelihood yields highest energy efficiency whereas the linear least squares approach and the multidimensional scaling method exhibit a strong susceptibility when ranging errors are large.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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C. Chang and A. Sahai. Estimation bounds for localization. In Proceedings of IEEE SECON, pages 415--424, October 2004.
 
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N. Patwari, A. O. Hero III, M. Perkins, N. Correal, and R. O'Dea. Relative location estimation in wireless sensor networks. In IEEE TSP, volume 51, pages 2137--2148, August 2003.
 
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F. Reichenbach, A. Born, D. Timmermann, and R. Bill. A distributed linear least squares method for precise localization with low complexity in wireless sensor networks. In DCOSS, volume 4026 of Lecture Notes in Computer Science, pages 514--528. Springer, 2006.
 
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Collaborative Colleagues:
Dominik Lieckfeldt: colleagues
Jiaxi You: colleagues
Jakob Salzmann: colleagues
Ralf Behnke: colleagues
Dirk Timmermann: colleagues