Mobility using first and second derivatives for kernel-based regression in wireless sensor networks.
Nisrine GhadbanPaul HoneineFarah Mourad-ChehadeClovis FrancisJoumana FarahPublished in: IWSSIP (2014)
Keyphrases
- wireless sensor networks
- kernel ridge regression
- network connectivity
- sparse kernel
- support vector
- sensor networks
- energy efficient
- energy consumption
- higher order
- regression model
- base station
- mobility management
- sensor nodes
- regression algorithm
- model selection
- environmental monitoring
- regression analysis
- data transmission
- mobile agents
- linear regression
- biological inspired
- support vector regression
- energy efficiency
- regression problems
- data aggregation
- routing protocol
- gradient boosting
- topology control
- wireless communication
- routing algorithm
- mobile users
- data gathering
- regression methods
- regression method
- kernel methods
- support vector machine
- simple linear
- wireless sensor
- mobile phone
- partial least squares
- multi hop
- regression function
- locally weighted
- multiple kernel learning
- mobile networks
- neural network