Delafontaine, V., Schiano, F., Cocco, G., Rusu, A. and Floreano, D., 2020, May. Drone-aided localization in LoRa IoT networks. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 286-292). IEEE. Paper: (IEEE) (arxiv) Abstract: Besides being part of the Internet of Things (IoT), drones can play a relevant role as enablers. The unique 3D mobility of UAVs can be exploited, among other applications, to improve node localization in IoT networks for, e.g., search and rescue or goods localization and tracking. One of the most widespred IoT communication tehnologies is the Long Range (LoRa), which allows to achieve long communication distances with low power. In this work we develop a drone-aided localization system for LoRa networks, in which a UAV is used to improve the estimation of a node's location initially provided by the network. We characterize the relevant parameters o
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