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Minimal Transmission Power vs. Signal Strength as Distance Estimation for Localization in Wireless Sensor Networks

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3 Author(s)
Blumenthal, J. ; Inst. of Appl. Microelectron. & Comput. Sci., Rostock Univ. ; Reichenbach, F. ; Timmermann, D.

Autonomous localization of nodes in wireless sensor networks is essential to minimize the complex self-organization task and to enhance network lifetime. Known techniques such as distance estimation based on received signal strength are often inaccurate and produce outliers. We propose a new method to measure a distance using the minimal transmission power between a transmitting node and a receiving node. The determined distance is very precise and has a low variance. It is therefore suitable for localization which is exemplary demonstrated for the approximate "weighted centroid localization" algorithm

Published in:

Sensor and Ad Hoc Communications and Networks, 2006. SECON '06. 2006 3rd Annual IEEE Communications Society on  (Volume:3 )

Date of Conference:

28-28 Sept. 2006