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» Learning from sensor network data
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116
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IPSN
2007
Springer
15 years 8 months ago
Underground structure monitoring with wireless sensor networks
Environment monitoring in coal mines is an important application of wireless sensor networks (WSNs) that has commercial potential. We discuss the design of a Structure-Aware Self-...
Mo Li, Yunhao Liu
153
Voted
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 2 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
128
Voted
ICDE
2007
IEEE
229views Database» more  ICDE 2007»
15 years 9 months ago
Data-quality Guided Load Shedding for Expensive In-Network Data Processing
In situ wireless sensor networks, not only have to route sensed data from sources to destinations, but also have to filter and fuse observations to eliminate potentially irreleva...
Lina Peng, K. Selçuk Candan
117
Voted
EWSN
2007
Springer
16 years 2 months ago
Versatile Support for Efficient Neighborhood Data Sharing
Many applications in wireless sensor networks rely on data from neighboring nodes. However, the effort for developing efficient solutions for sharing data in the neighborhood is of...
Andreas Lachenmann, Daniel Minder, Kurt Rothermel,...
122
Voted
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 2 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...