Indoor LOS Wi-Fi Coverage Prediction using ANN

Authors

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

Keywords:

WiFi, QoS, RMSE, ANN

Abstract

Wi-Fi communication standard is becoming very popular and important in our daily communications applications. As a result research is being undertaken to improve on its quality of service (QoS). This study is aimed at predicting Wi-Fi signal propagation along a corridor using Artificial Neural Networks (ANN). The absolute mean error (ME), root mean square error 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 ANN prediction.

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