NDLI: Statistical analysis of positioning error distribution in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Tennina, S. Di Renzo, M. Graziosi, F. Santucci, F.
Copyright Year	2008
Description	Author affiliation: Telecommun. Technol. Center of Catalonia, Barcelona (Di Renzo, M.) \|\| Dept. of Electr. & Inf. Eng., Univ. of L'Aquila, L'Aquila (Tennina, S.; Graziosi, F.; Santucci, F.)
Abstract	In a recent contribution [1], we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and suggested an enhanced version of the steepest descent (ESD) algorithm, which we have shown (with preliminary results) to be competitive with some other distributed localization algorithms in terms of estimation accuracy and numerical complexity. Moreover, we have conducted a statistical characterization of the position error distribution, by showing that it can be well approximated by the family of Pearson distributions. In this contribution, we first analyze with further detail the proposed ESD algorithm, and then show that the knowledge of the position error distribution may be efficiently used to speed-up the analysis of iterative-based positioning algorithms by avoiding the need of simulating the whole location discovery algorithm, and allowing simulation at the atomic level only. In particular, we will report some numerical results showing that the two approaches i) running the whole positioning algorithm when having at its input ranging errors, and ii) running the localization algorithm at the atomic level when having at its input ranging and positioning errors, provide the same results, with the latter approach having the additional positive feature to be simpler to be implemented. The proposed strategy may be efficiently used for analysis and optimization of various network settings.
Starting Page	619
Ending Page	624
File Size	2044933
Page Count	6
File Format	PDF
ISBN	9781424423736
DOI	10.1109/CHINACOM.2008.4685103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Wireless sensor networks Analytical models Statistical analysis Computerized monitoring Space technology Phase estimation Electrostatic discharge Iterative algorithms Recursive estimation
Content Type	Text
Resource Type	Article

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