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ICDE
2008
IEEE
122views Database» more  ICDE 2008»
14 years 6 months ago
Exponentially Decayed Aggregates on Data Streams
In a massive stream of sequential events such as stock feeds, sensor readings, or IP traffic measurements, tuples pertaining to recent events are typically more important than olde...
Graham Cormode, Flip Korn, Srikanta Tirthapura
MOBILWARE
2009
ACM
13 years 11 months ago
Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nas...
UAI
2003
13 years 6 months ago
An Importance Sampling Algorithm Based on Evidence Pre-propagation
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
Changhe Yuan, Marek J. Druzdzel
ICASSP
2008
IEEE
13 years 11 months ago
Optimized distributed 2D transforms for irregularly sampled sensor network grids using wavelet lifting
We address the design and optimization of an energy-efficient lifting-based 2D transform for wireless sensor networks with irregular spatial sampling. The 2D transform is designe...
Godwin Shen, Antonio Ortega
SIGMOD
2005
ACM
106views Database» more  SIGMOD 2005»
14 years 5 months ago
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams
Existing energy-efficient approaches to in-network aggregation in sensor networks can be classified into two categories, tree-based and multi-path-based, with each having unique s...
Amit Manjhi, Suman Nath, Phillip B. Gibbons