Detecting anomalies to improve classification performance in opportunistic sensor networks.
Hesam SaghaJosé del R. MillánRicardo ChavarriagaPublished in: PerCom Workshops (2011)
Keyphrases
- sensor networks
- detecting anomalies
- sensor data
- wireless sensor networks
- energy efficient
- anomaly detection
- communication cost
- environmental monitoring
- resource constrained
- data aggregation
- data streams
- sensor nodes
- communication bandwidth
- machine learning
- training set
- underwater acoustic
- energy consumption
- routing protocol
- data dissemination
- data gathering
- unsupervised learning
- sensor web
- preprocessing
- energy efficiency
- text classification
- mobile wireless
- feature space
- network connectivity
- sensor readings
- visual sensor networks
- decision support
- knn
- feature extraction
- decision trees
- feature selection