An understanding of the traffic characteristics and accurate traffic models are necessary for the improvement of the capability of wireless networks. In this paper we have analyzed the non-linear dynamical behavour of several real traffic traces collected from wireless testbeds. We have found strong evidence that the wireless traffic is chaotic from our observations. That is we found from the traffic correlation dimension, largest Lyapunov exponent and the principal components analysis, which are typical indicators of chaotic traffic. This gives us the good theoretical basis for the analysis and modeling of wireless traffic using Chaos Theory.

Date Published: 25 October 2004
PDF: 9 pages
Proc. SPIE 5598, Performance, Quality of Service, and Control of Next-Generation Communication Networks II, (25 October 2004); doi: 10.1117/12.570703

Published in SPIE Proceedings Vol. 5598:
Performance, Quality of Service, and Control of Next-Generation Communication Networks II
Frank Huebner; Robert D. van der Mei, Editor(s)