Wi-Fi Signal Indoor LOS Coverage modeling using ANFIS

Authors

  • M. O. Omae
  • E. N Ndungu
  • P. L. Kibet

Keywords:

Wi-Fi, QoS, WLANS, ANFIS

Abstract

Wireless local area networks (WLANS) are becoming very important in our daily communications applications. This has necessitated their study to improve on the quality of service (QoS). Different methods have been used in signal modeling. This study is aimed at predicting Wi-Fi signal propagation along a corridor using Adaptive Neural Fuzzy Inference System (ANFIS). The root mean square and standard deviation of the predicted signal were determined. The study was undertaken using a Wi-Fi router as the transmitter and a mobile phone as the receiver. The measured values were then used in ANFIS modeling.It was found that the predicted values were close to actual measured values.

Author Biographies

M. O. Omae

School of Electrical, Electronic and Information Engineering, Department of Telecommunication & Information Engineering, JKUAT

E. N Ndungu

School of Electrical, Electronic and Information Engineering, Department of Telecommunication & Information Engineering, JKUAT

P. L. Kibet

School of Electrical, Electronic and Information Engineering, Department of Telecommunication & Information Engineering, JKUAT

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Published

04-04-2022