Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13651-1_6 | DCOSS |
Keywords | Field | DocType |
exploratory data collection,robust sensor data fusion,robust sensor fusion system,proposed system,system design criterion,sensor network,prior knowledge,heterogeneous correlated noise model,signal characteristic,unknown signal,common signal degradation source,data collection,sensor fusion,packet loss,system design,data fusion | Data collection,Data mining,Computer science,Soft sensor,Packet loss,Systems design,Sensor fusion,Redundancy (engineering),Wireless sensor network,Military Site | Conference |
Volume | ISSN | ISBN |
6131 | 0302-9743 | 3-642-13650-8 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Younghun Kim | 1 | 446 | 38.54 |
| Thomas Schmid | 2 | 407 | 40.11 |
| Mani Srivastava | 3 | 13052 | 1317.38 |