Wi-Fi Signal Indoor LOS Coverage modeling using ANFIS

  • Omae M. O. 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

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.
Published
Jun 22, 2016
How to Cite
O., Omae M.; NDUNGU, E. N.; KIBET, P. L.. Wi-Fi Signal Indoor LOS Coverage modeling using ANFIS. Proceedings of Sustainable Research and Innovation Conference, [S.l.], p. 284-288, june 2016. ISSN 2079-6226. Available at: <http://sri.jkuat.ac.ke/ojs/index.php/proceedings/article/view/452>. Date accessed: 23 nov. 2017.

Keywords

Wi-Fi; QoS; WLANS; ANFIS