M.Sc. graduation project Neural Network for interference prevention in Internet of Things
This project is about interference prevention based on machine learning through channel migration. The work will be realized in Grave|Net, a controlled monitoring platform for Internet of Things (IoT), implementing a distributed neural network into the sensor nodes (TelosB). Data relating to communication metrics will be used to train the Neural Network in each node with the aim to predict which channels are best suited for transmission.
Are you interested? Contact Michele Chincol, m.chincoli@ for further information. tue.nl