Benghalia, AmiraBerkou, SamiyaZaidi, Sofiane2022-11-152022-11-152022http://hdl.handle.net/123456789/14315Unmanned Aerial Vehicles (UAVs) have recently received significant attention by the civilian and military community, mostly due to the fast growth of UAV technologies supported by wireless communications and networking. UAVs can be used to improve the efficiency and performance of the Internet of Things (IoT) in terms of connectivity, coverage, reliability, stability, etc. In particular, to support IoT applications in an efficient manner, UAVs should be organized as a Flying Ad-hoc NETwork (FANET). FANET is a subclass of Mobile Ad-hoc Network (MANET) where nodes are UAVs. Internet of Flying Things (IoFT) is the integration of IoT with FANET that provides many benefits in terms of: connectivity and coverage, reliability, data processing and storage, real-time services, resistance to weather conditions, and energy supply of IoT nodes. In the scientific research literature, there are any simulator dedicated to the IoFT, for this reason, our work aims to develop an IoFT simulator that allows a collection of UAVs to collect various environmental parameters, such as: temperature, pressure, etc. Furthermore, the simulator provides for the UAV to forward their collected data towards the IoT servers using IoT devices.enInternet of thingsUnmanned aerial vehiclesInternet of flying thingsOther