C4.5: programs for machine learning
C4.5: programs for machine learning
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Probabilistic Room Location Service for Wireless Networked Environments
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Dempster-Shafer Theory for Intrusion Detection in Ad Hoc Networks
IEEE Internet Computing
A sensory grammar for inferring behaviors in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Routing Analysis Using Fuzzy Logic Systems in Wireless Sensor Networks
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Distance based decision fusion in a distributed wireless sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Event detection services using data service middleware in distributed sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
D-FLER: a distributed fuzzy logic engine for rule-based wireless sensor networks
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Fuzzy key dissemination limiting method for the dynamic filtering-based sensor networks
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
MEDAL: a coMpact event description and analysis language for wireless sensor networks
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Toward scalable activity recognition for sensor networks
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Self-learning fuzzy controllers based on temporal backpropagation
IEEE Transactions on Neural Networks
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
IEEE Transactions on Neural Networks
Engineering Applications of Artificial Intelligence
Efficient event prewarning for sensor networks with multi microenvironments
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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Event detection is a central component in numerous wireless sensor network (WSN) applications. Nevertheless, the area of event description has not received enough attention. The majority of current event description and detection approaches rely on using precise values to specify event thresholds. However, we believe that crisp values cannot adequately handle the often imprecise sensor readings. In this paper we demonstrate that using fuzzy values instead of crisp ones significantly improves the accuracy of event detection. We also show that our fuzzy logic approach provides higher event detection accuracy than two well-established classification algorithms. A disadvantage of using fuzzy logic is the exponentially growing size of the fuzzy logic rule-base. As sensor nodes have limited memory, storing large rule-bases could be a challenge. To address this issue, we have developed a number of techniques that help reduce the size of the rule-base by more than 70%, while preserving the event detection accuracy.