Regresar

Modelling TCP/IP traffic of a convergent campus wireless network

Abstract:

With the deployment of new devices, protocols and applications, network traffic is changing to adapt to these trends. Therefore, it is necessary to analyze the impact over services and resources in data networks. Traffic classification of network is an important requirement to optimize traffic engineering and adequately provision quality of service. In this paper, we propose to analize the traffic in an university campus wireless network, throught the collected data by means of a novel sniffer that ensures the user data privacy. We focus in packet size. The results show that this traffic has a bimodal behaviuor with packets around 60 and 1300 bytes. It is also observed that IPv4 packets represents a big impact over IPv6, mainly TCP packets. And applications such as SSL and HTTP mark this trend. Numerical parameters for poisson distribution are presented in order to compare and simulate such traffic.