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DCOSS
2010
Springer

Design and Implementation of a Robust Sensor Data Fusion System for Unknown Signals

8 years 3 months ago
Design and Implementation of a Robust Sensor Data Fusion System for Unknown Signals
In this work, we present a robust sensor fusion system for exploratory data collection, exploiting the spatial redundancy in sensor networks. Unlike prior work, our system design criteria considers a heterogeneous correlated noise model and packet loss, but no prior knowledge of signal characteristics. The former two assumptions are both common signal degradation sources in sensor networks, while the latter allows exploratory data collection of unknown signals. Through both a numerical example and an experimental study on a large military site, we show that our proposed system reduces the noise in an unknown signal by 58.2% better than a comparable algorithm. Key words: Exploratory Data Collection, Robust Distributed Sensing, Data Fusion
Younghun Kim, Thomas Schmid, Mani B. Srivastava
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where DCOSS
Authors Younghun Kim, Thomas Schmid, Mani B. Srivastava
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