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» Decentralized Learning in Wireless Sensor Networks
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86
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EWSN
2008
Springer
15 years 9 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...
EWSN
2004
Springer
15 years 9 months ago
Structured Communication in Single Hop Sensor Networks
Abstract. We propose a model for communication in single-hop wireless sensor networks and define and evaluate the performance of a robust, energy balanced protocol for a powerful a...
Amol Bakshi, Viktor K. Prasanna
94
Voted
IPSN
2010
Springer
14 years 7 months ago
i-MAC - a MAC that learns
Traffic patterns in manufacturing machines exhibit strong temporal correlations due to the underlying repetitive nature of their operations. A MAC protocol can potentially learn t...
Krishna Kant Chintalapudi
ICDCS
2009
IEEE
15 years 6 months ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
CORR
2007
Springer
126views Education» more  CORR 2007»
14 years 9 months ago
Rethinking Information Theory for Mobile Ad Hoc Networks
The subject of this article is the long standing open problem of developing a general capacity theory for wireless networks, particularly a theory capable of describing the fundam...
Jeffrey G. Andrews, Nihar Jindal, Martin Haenggi, ...