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cs.NI2020
PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge
Benjamin Sliwa, Cedrik Schüler, Manuel Patchou +1
Swarms of collaborating Unmanned Aerial Vehicles (UAVs) that utilize ad-hoc networking technologies for coordinating their actions offer the potential to catalyze emerging research…
cs.NI2020
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation
Benjamin Sliwa, Manuel Patchou, Christian Wietfeld
The analysis of the end-to-end behavior of novel mobile communication methods in concrete evaluation scenarios frequently results in a methodological dilemma: Real world measuremen…
cs.NI2020
Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim
Benjamin Sliwa, Manuel Patchou, Karsten Heimann +1
Integrating Unmanned Aerial Vehicles (UAVs) into future Intelligent Transportation Systems (ITSs) allows to exploit their unique mobility potentials for improving the performance o…