Forecasting 802.11 Traffic Using Seasonal ARIMA Model

  title={Forecasting 802.11 Traffic Using Seasonal ARIMA Model},
  author={Chen Chen and Qingqi Pei and Lv Ning},
  journal={2009 International Forum on Computer Science-Technology and Applications},
Based on the analysis to the collected traffic from many WLAN testbed, a statistical model is proposed to predict the short-term traffic in IEEE 802.11 networks. By large numbers of differencing and sampling to the original data sequence, the season property was found and verified. Then, a time series model was given which can accurately predict the WLAN traffic: Multiple Seasonal ARIMA Model (0, 1, 1) (0, 1, 1). After iterative computation, the model was transformed into an MA model and the… CONTINUE READING