Indoor LOS Wi-Fi Coverage Prediction using ANN

  • 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

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.
Published
Jun 22, 2016
How to Cite
OMAE, M. O.; NDUNGU, E. N.; KIBET, P. L.. Indoor LOS Wi-Fi Coverage Prediction using ANN. Proceedings of Sustainable Research and Innovation Conference, [S.l.], p. 289-294, june 2016. ISSN 2079-6226. Available at: <http://sri.jkuat.ac.ke/ojs/index.php/proceedings/article/view/453>. Date accessed: 24 sep. 2017.

Keywords

Wi-Fi; QoS; RMSE; ANN