Markov Random Fields based probabilistic relaying for multihop networks.
Aruna JayasuriyaSylvie PerreauMarc SigellePublished in: WCNC (2013)
Keyphrases
- markov random field
- multi hop
- mobile ad hoc networks
- base station
- graph cuts
- belief propagation
- higher order
- parameter estimation
- mrf model
- random fields
- energy function
- image segmentation
- energy minimization
- image restoration
- maximum a posteriori
- probabilistic networks
- factor graphs
- wireless sensor networks
- conditional random fields
- probabilistic model
- bayesian networks
- energy efficient
- wireless networks
- low level vision
- potts model
- message passing
- map estimation
- ad hoc networks
- routing protocol
- energy consumption
- biological inspired
- pairwise
- data transmission
- potential functions
- markov networks
- network structure
- machine learning
- generative model
- map inference
- end to end
- multipath
- fully connected
- routing algorithm
- discriminative random fields