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» Learning from sensor network data
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LCN
2006
IEEE
15 years 3 months ago
ROADNet: A network of SensorNets
As sensor networks become denser and more widely deployed, the potential develops for interconnecting these networks to combine datasets, share technological solutions, and to con...
Todd Hansen, Sameer Tilak, Steve Foley, Kent Lindq...
ITICSE
2010
ACM
14 years 9 months ago
Hands-on approach to teaching wireless sensor networks at the undergraduate level
Teaching wireless sensor networks (WSNs) at the undergraduate level is both challenging and rewarding. WSNs include low-level programming and debugging, power-aware operations, no...
Anna Förster, Mehdi Jazayeri
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
15 years 4 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
IPSN
2010
Springer
15 years 4 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
MOBISYS
2009
ACM
15 years 10 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...