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

Abstract-- The growth of wireless network use has greatly increased research demand. Some applications, which are contextaware, 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. Keywords-- WLAN, forecasting, exponential smoothing

• Type: Conference
• Year: 2007
• Where: EATIS
• Authors: Jeandro Bezerra, Rudy Braquehais, Filipe Roberto, Jorge Silva, Marcial Fernandez, Thelmo de Araújo, Celestino Junior
• Keywords: Adaptive Exponential Smoothing, EATIS 2007, Exponential Smoothing, Exponential Smoothing Technique, Information Management