Minimal transmission power as distance estimation for precise localization in sensor networks

  • Authors:
  • Jan Blumenthal;Dirk Timmermann;Carsten Buschmann;Stefan Fischer;Jochen Koberstein;Norbert Luttenberger

  • Affiliations:
  • University of Rostock, Rostock;University of Rostock, Rostock;University of Lübeck, Lübeck;University of Lübeck, Lübeck;CAU of Kiel, Kiel;CAU of Kiel, Kiel

  • Venue:
  • Proceedings of the 2006 international conference on Wireless communications and mobile computing
  • Year:
  • 2006

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Abstract

Positioning sensor nodes requires distance information to reference points. Due to resource limitations in sensor networks, distance determination in low-cost sensor nodes without additional hardware is difficult. Known techniques such as distance estimation based on received signal strength (RSSI) are mostly inaccurate or have limitations. We propose a new method to measure the distance between a transmitting node and a receiving node using the minimal transmission power. The determined distance is more precise than RSSI, has a low variance and is therefore particularly suitable for positioning. Finally, we implemented a demonstrator application using weighted centroid localization to show the practical implementation.