SciELO - Scientific Electronic Library Online

 
vol.29 issue2Studying chromium biosorption using arabica coffee leavesNumerical models for the phenomenological study of flameless combustion author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería e Investigación

Print version ISSN 0120-5609

Abstract

HERNANDEZ SUAREZ, Cesar Augusto; SALCEDO PARRA, Octavio José  and  ESCOBAR DIAZ, Andrés. An ARIMA model for forecasting Wi-Fi data network traffic values. Ing. Investig. [online]. 2009, vol.29, n.2, pp.65-69. ISSN 0120-5609.

This present scientific and technological research was aimed at showing that time series represent an excellent tool for data traffic modelling within Wi-Fi networks. Box-Jenkins methodology (described herein) was used for this purpose. Wi-Fi traffic modelling through correlated models, such as time series, allowed a great part of the data's behaviourl dynamics to be adjusted into a single equation and future traffic values to be estimated based on this. All this is advantageous when it comes to planning integrated coverage, reserving resources and performing more efficient and timely control at different levels of the Wi-Fi data network functional hierarchy. A six order ARIMA traffic model was obtained as a research outcome which predicted traffic with relatively small mean square error values for an 18-day term.

Keywords : ARIMA; correlation; data-network; traffic model; time series.

        · abstract in Spanish     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License