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» Algorithmic models for sensor networks
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135
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EWSN
2008
Springer
16 years 3 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
155
Voted
GISCIENCE
2010
Springer
231views GIS» more  GISCIENCE 2010»
15 years 4 months ago
Efficient Data Collection and Event Boundary Detection in Wireless Sensor Networks Using Tiny Models
Using wireless geosensor networks (WGSN), sensor nodes often monitor a phenomenon that is both continuous in time and space. However, sensor nodes take discrete samples, and an ana...
Kraig King, Silvia Nittel
133
Voted
CEC
2005
IEEE
15 years 9 months ago
Modeling and analysis of indirect communication in particle swarm optimization
Abstract- Particle Swarm Optimization (PSO) has successfully been applied to many optimization problems. One particularly interesting aspect of these algorithms is to study the com...
S. Helwig, Christian Haubelt, Jürgen Teich
143
Voted
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
15 years 9 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
116
Voted
IPSN
2005
Springer
15 years 9 months ago
Statistical model of lossy links in wireless sensor networks
Abstract— Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and properties produced by w...
Alberto Cerpa, Jennifer L. Wong, Louane Kuang, Mio...