Indoor Localization System Based on Bluetooth Low Energy Beacons and Spiking Neural Networks.
BaejahNur AhmadiTrio AdionoPublished in: MWSCAS (2023)
Keyphrases
- low energy
- indoor localization
- spiking neural networks
- wifi
- received signal strength
- biologically inspired
- wireless networks
- mobile devices
- base station
- localization algorithm
- end to end
- electron microscopy
- learning rules
- wireless communication
- feed forward
- signal strength
- biologically plausible
- cluster head
- network architecture
- protein folding
- artificial neural networks
- neural network
- ad hoc networks
- radio frequency
- multi hop
- coarse grained
- access points
- mobile applications
- motor control
- smart home
- location information
- mobile users
- mobile networks
- smart phones
- smart card
- low cost
- wireless sensor networks
- genetic algorithm
- urban environments
- energy efficient
- data transmission
- back propagation
- x ray
- machine learning