Higher Reconstruction Performance with Dual Deep Neural Networks for Wireless Sensor Networks Compressed Temporal Signals.
Sébastien RousseauRomain NégrierFabien CourregesFrank Itoua EngotiRaymond QuéréPublished in: IDAACS (2023)
Keyphrases
- wireless sensor networks
- neural network
- signal reconstruction
- sensor networks
- energy efficient
- temporal information
- energy consumption
- neural nets
- pattern recognition
- compressive sensing
- spatial and temporal
- spatio temporal
- fuzzy logic
- data aggregation
- image reconstruction
- multi layer
- base station
- temporal constraints
- reconstruction method
- signal processing
- environmental monitoring
- genetic algorithm
- temporal databases
- biological inspired
- temporal reasoning
- independent component analysis
- sensor nodes
- three dimensional
- data structure
- data gathering
- multi hop
- recurrent neural networks
- temporal patterns
- activation function
- fault diagnosis
- wireless communication
- compressed data
- artificial neural networks
- band limited
- topology control
- temporal data