Abstract

Flying Ad hoc Networks (FANETs) enable communication among unmanned aerial vehicles (UAVs) in highly dynamic and infrastructure-less environments. However, high mobility, limited onboard energy, and rapidly changing network topology make reliable communication and Quality of Service (QoS) assurance particularly challenging. This paper presents a publicly available FANET dataset generated through detailed simulations using NS-3.40. The dataset consists of eight communication scenarios that systematically vary node density, mobility speed, transmission range, energy levels, traffic type, and communication architecture. For each scenario, the dataset provides packet-level traces, UAV mobility and energy states, QoS metrics, and routing information derived from the OLSR protocol. The dataset is designed to support performance analysis, protocol benchmarking, and the development of energy-aware and AI-driven routing strategies for FANETs. By releasing this dataset on Zenodo, we aim to facilitate reproducible experimentation and provide a practical reference for future research on UAV communication networks.

Key words: FANET, UAV, Dataset, QoS, NS-3, OLSR, Ad hoc Networks.