Scientists of the doctoral school “Networked Autonomous Aerial Vehicles” implemented a self-adaptive swarm of drones and showcased it in Klagenfurt’s new drone hall, one of the largest and most modern facilities of its kind.
The convergence of binary majority consensus algorithms is studied in networks with different types of disturbances. It is shown how randomization can foster convergence.
We analyze a wireless communication system with multiple relays operating in an interference-limited setting. Analytical results derived for different interferer placement show that the temporal and spatial characteristics of the interference have significant impact on the system performance.