Distributed energy-efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks.
Ahmed Mohammed HusseinAli Kadhum IdreesRaphaël CouturierPublished in: Int. J. Commun. Syst. (2022)
Keyphrases
- data transmission
- data reduction
- energy efficient
- computer networks
- data compression
- wireless sensor networks
- energy consumption
- base station
- multi hop
- data acquisition
- data analysis
- communication networks
- wireless channels
- feature selection
- knowledge discovery
- rough set theory
- source node
- compression algorithm
- preprocessing
- distributed systems
- routing protocol
- sensor nodes
- data mining
- classification accuracy
- sensor networks
- peer to peer
- model selection
- image compression
- classification rules
- compression ratio
- computer systems
- databases
- cluster head
- cloud computing
- wireless networks
- singular value decomposition
- data sets
- data quality
- wavelet transform
- distributed environment
- mobile nodes
- network structure