Self-similar simulation of IP traffic for wireless networks Online publication date: Tue, 26-Feb-2008
by Dimitar Radev, Izabella Lokshina
International Journal of Mobile Network Design and Innovation (IJMNDI), Vol. 2, No. 3/4, 2007
Abstract: This paper examines self-similar (or fractal) properties of real teletraffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. The algorithms for modelling fixed-length sequence generators that are used to simulate self-similar behaviour of real teletraffic data in IP traffic for wireless networks are developed and applied. Numerical examples and simulation results are provided.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mobile Network Design and Innovation (IJMNDI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com