Spatial Inference in Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering.
Martin GölzMichael MumaTopi HalmeAbdelhak M. ZoubirVisa KoivunenPublished in: EUSIPCO (2019)
Keyphrases
- sensor networks
- hypothesis testing
- wireless sensor networks
- sensor data
- likelihood ratio
- resource constrained
- heterogeneous sensor networks
- sensor nodes
- communication cost
- underwater acoustic
- statistical tests
- energy consumption
- energy efficient
- bayesian networks
- sensor readings
- environmental monitoring
- mobile sensor networks
- communication bandwidth
- data aggregation
- robust statistical
- base station
- visual sensor networks
- spatial data
- data points
- data streams
- energy efficiency
- mobile wireless
- confidence intervals
- hypothesis test
- spatial analysis
- machine learning
- routing protocol
- feature selection