Transient Process Relaxation Time Research under the Condition of Self-Similar Traffic Input in Wireless Networks

Automatic Control and Computer Sciences 2009
Romans Jerjomins, Ernests Pētersons

In the article, the results of measuring the traffic in wireless networks are presented. The results provide evidence of the traffic being notably self-similar. The two following models were developed in order to estimate the parameters of a wireless network operating along with the input traffic being self-similar: a model for systems with no restrictions on the quantity of the orders in the system lines and a model for systems with limited buffer volumes. The two types of incoming traffic that each system was simulated for were the Poisson and self-similar traffic. The main objective of the article is to figure out the relaxation time and dependences of the relaxation time and loss probability on different parameters of the simulated systems.

Keywords
wireless networks, transient processes, self-similar traffic, Pareto distribution, Hurst coefficient, simulation modeling, relaxation time.
DOI
10.3103/S0146411609030043
Hyperlink
http://link.springer.com/article/10.3103/S0146411609030043

Jerjomins, R., Pētersons, E. Transient Process Relaxation Time Research under the Condition of Self-Similar Traffic Input in Wireless Networks . Automatic Control and Computer Sciences, 2009, Vol.43, Iss.3, pp.138-147. ISSN 0146-4116. e-ISSN 1558-108X. Available from: doi:10.3103/S0146411609030043

Publication language
English (en)