Reliability estimation for drone communications by using an MLP-based model

Unmanned aerial vehicles (UAVs) or drones have been widely employed in both military and civilian tasks due to their reliability low cost. UAVs ad hoc networks also acknowledged as flying ad-hoc (FANETs), are multi-UAV systems arranged an manner. In order maintain consistent effective communication, is a prime concern FANETs. This paper presents analytical framework estimate the of drones’ communication The proposed system takes into account communications FANETs, including channel fading. suggested investigation used generate dataset, then artificial neural network (ANN) based multi-layer perceptron (MLP) model communication. Moreover, define best MLP with hidden layers, correlation coefficient (R2), mean square error (MSE), root (RMSE), absolute percentage (MAPE) obtained. numerical results presented which verify studies.