Deep Learning Based Localization Scheme for UAV Aided Wireless Sensor Networks

In this paper, a deep learning based localization scheme is proposed for unmanned aerial vehicle (UAV) aided wireless sensor networks (WSN s), The scheme contains two components which are ranging and localization. In the ranging component, a UAV works as a data collector and calculates the distances between the ground sensor nodes. In the localization component, a localization convolutional neural network (CNN) is built and trained to estimate the nodes coordinates using the ranging information. Simulations results show that the proposed localization scheme has a higher accuracy comparing with a related method.