Eng. Wafaa SAYED (EECE1991) received "Best Paper Award in IEEE SmartNet 2019 Conference that was held in Sharm El-Sheihk, Egypt during the period 17 - 19 December 2019. Her paper is entitled:

 "A Neural Network Based Visible Light Communication Indoor Positioning System for Moving Users"

and was co-authored with Dr. Tawfik ISMAIL (National Institute of Laser Enhanced Sciences - NILES), and Prof. Khaled ELSAYED (EECE1987) of the EECE Dept. at Cairo University. The paper abstract is as follows:

In this paper, we present an indoor visible light communication (VLC) system to estimate the position of a moving user. This system uses two approaches based on received signal strength, trilateration estimation and neural network estimation. In VLC system, each transmitter sends its position information via light. A photo-detector receiver supported with the moving user is used to receive the transmitted power from each transmitter. The position of the receiver is calculated by using trilateration estimation and neural network estimation. In our simulation, we consider the line of sight (LOS) and non-line of sight (NLOS) cases. The results showed that the neural network estimation approach offers more accurate positioning than the trilateration estimation in case of the normal of the receiver has a tilted angle with the normal of the transmitter with 94% accuracy.