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Enhancing RSSI-based Tracking Accuracy in Wireless Sensor Networks

Enhancing RSSI-based Tracking Accuracy in Wireless Sensor Networks. Bracha Hod Based on a joint work with: Gaddi Blumrosen, Dr. Tal Anker, Prof. Danny Dolev and Prof. Boris Rubinsky. Motivation.

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Enhancing RSSI-based Tracking Accuracy in Wireless Sensor Networks

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  1. Enhancing RSSI-based Tracking Accuracy in Wireless Sensor Networks Bracha Hod Based on a joint work with: Gaddi Blumrosen, Dr. Tal Anker, Prof. Danny Dolev and Prof. Boris Rubinsky

  2. Motivation • Precise tracking systems in an indoor environment are important in many fields, such as sports and medicine • Wireless sensor networks can provide motion and location tracking

  3. RSSI-based Tracking • RSSI (Received Signal Strength Indicator) is a measurement of the signal power on a radio link • RSSI-based tracking includes two steps • Range estimation between pairs of nodes based on RSSI measurements • Location estimation using geometric or statistical methods applied on the information from all nodes • Simple and cheap, widely used, low-power consumption, and not suffer from any drift

  4. Contribution • Existing RSSI-based tracking systems provide a tracking accuracy in the scale of a meter • Variations in the wireless medium, reflections, scatterers, multi-paths interference • Our RSSI-based tracking system achieves an accuracy in the order of a few centimeters • Close-proximity • High transmission rate

  5. Setup • The mobile node transmits data packets • The static sensor nodes receive packets from the mobile node and calculate the RSSI • The computer processes the information and estimates the mobile node’s location

  6. Close-proximity

  7. Spatial-Temporal Correlation Interpolation Low-pass filter

  8. Spatial-Temporal Correlation Before post-processing After median filter After low-pass filter

  9. High Transmission Rate

  10. Error Analysis

  11. Summary • We proposed a new RSSI-based tracking system that achieves a high accuracy • Close-proximity • High transmission rate • Future work • Integration of RSSI measurements with other motion sensors • More extensive experiments

  12. Thank You!

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