Data driven analysis of Wi-Fi networks

Abstract

With the increase in demand for enterprise wi- , there is a growing need to understand the functioning of these networks. Large scale Wi-Fi deployment is a challenging task. There is a need to diagnose network related problems after deployment of this large scale Wi-Fi. Another important task is to identify if the client behaviour is anomalous. Clustering is a method that can be used to detect it. In this report user trajectories have been trained using Doc2Vec and the results have been reported.