Classification of Hosts in a WLAN Based on Support Vector Machine

Nowadays, wireless local area networks (WLAN) are communication structures highly used in organizations and residences, since they allow greater flexibility, adaptability and comfort for users; However, they have difficulty in optimizing the bandwidth depending on the traffic demand, since some users require more or less bandwidth according to the activity carried out. Therefore, granting a quality service in WLANs is a latent need, hence this problem has been the subject of multiple studies involving artificial intelligence, to determine the behavior of telecommunications networks and as support to making management decisions. In this paper, the use of an artificial intelligence technique is proposed to study behavior of the WLAN users at the University of Nariño.