A method using time series analysis for IEEE 802.11 WLANs channel forecasting

  • Authors:

  • Jeandro Bezerra;Rudy Braquehais;Filipe Roberto;Jorge Silva;Marcial Fernandez;Thelmo de Araújo;Celestino Junior

  • Affiliations:

  • Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil;Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil;Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil;Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil;Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil;Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil;Universidade Estadual do Ceará, Fortaleza, Ceará, Brasil

  • Venue:
  • EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
  • Year:
  • 2007

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Abstract

The growth of wireless network use has greatly increased research demand. Some applications, which are context-aware, must adapt to the environment. So, information on both environment characteristics and the device's hardware are crucial. In this work, a new method called Natural Adaptive Exponential Smoothing (NAES) is proposed. It describes and forecasts, in real time, IEEE 802.11 WLAN networks channel behavior. The NAES method is a variation of the exponential smoothing technique to compute the channel quality indicators, namely the Received Signal Strength (RSS) and the link quality. A comparison with the results obtained by the Trigg and Leach (TL) method shows that NAES outperforms TL method.