Parameter Estimation in Sensor Networks Under Probabilistic Censoring.
Ido NevatPengfei ZhangGad FrenkelGareth W. PetersPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- parameter estimation
- sensor networks
- maximum likelihood
- sensor data
- least squares
- markov random field
- model selection
- communication cost
- wireless sensor networks
- energy efficient
- resource constrained
- expectation maximization
- random fields
- em algorithm
- parameter estimation algorithm
- probabilistic model
- data streams
- sensor nodes
- underwater acoustic
- metropolis hastings algorithm
- environmental monitoring
- energy consumption
- model fitting
- sensor web
- mobile wireless
- bayesian networks
- stochastic logic programs
- data gathering
- communication bandwidth
- sensor readings
- data mining
- estimation problems
- network connectivity
- parameter estimates
- energy efficiency
- bayesian model selection
- base station
- data sets