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» Using Data Mining to Estimate Missing Sensor Data
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116
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IPSN
2003
Springer
15 years 7 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
139
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Quantization and power allocation in wireless sensor networks with correlated data
Abstract— This work addresses the problem of joint quantization and power allocation in wireless sensor networks where sensors observe a source, quantize their observations and t...
Muhammad Hafeez Chaudhary, Luc Vandendorpe
109
Voted
JMLR
2010
134views more  JMLR 2010»
14 years 9 months ago
Bayesian Algorithms for Causal Data Mining
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...
123
Voted
EWSN
2009
Springer
16 years 3 months ago
The Minimum Number of Sensors - Interpolation of Spatial Temperature Profiles in Chilled Transports
Wireless sensor networks are an important tool for the supervision of cool chains. Previous research with a high number of measurement points revealed spatial temperature deviation...
Reiner Jedermann, Walter Lang
141
Voted
MASCOTS
2008
15 years 4 months ago
Lifetime Estimation of Large IEEE 802.15.4 Compliant Wireless Sensor Networks
Lifetime of a wireless sensor network is affected by key factors such as network architecture, network size, sensor node population model, data generation rate, initial battery bu...
Carol Fung, Yanni Ellen Liu