Бібліографічний опис:
Bratus, Oleksandr. BLE Mesh Reliability Optimization using Neural Networks / Oleksandr Bratus; Supervisor: Dr. Oleg Farenyuk; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2021. – 44 p.: ill.
Короткий опис (реферат):
The Bluetooth Low Energy (BLE) Mesh network technology is one of the newest
technologies in the wireless communication domain. Due to low cost and low power
consumption, it has already become widespread and has the potential for a wide
range of applications.
However, the flooding algorithm on which based BLE Mesh data transmission
process impacts strongly on networks reliability. Because improper network setup
can be critical to ensuring sufficient network reliability, it is necessary to be able
to predict the network reliability in order to be able to reconfigure the network to
improve its reliability.
In this master thesis, we propose neural network approaches that predict the
reliability of both the entire network and its individual nodes. Presented results
demonstrate that trained neural networks are scalable by providing high accuracy
of predictions on networks of different sizes.
