Interconnected devices and the emergence of autonomous cyber-physical systems are increasingly shaping the way we live and work. It is this rapid technological-societal change that drives the work of Bettstetter and his team. Their vision is to shift the frontiers of digital technologies with high-risk high-gain engineering science and to solve real-world problems for the benefit of humanity.
Research encompasses the design, modeling, and analysis of novel techniques for wireless communications, networking, and networked control with application to mobile telecommunications (5G), industrial sensor networks, mobile robotics, and autonomous transport.
Expertise includes stochastic modeling and analysis, distributed algorithms and protocols, network simulation and performance analysis, protocol engineering, prototyping on programmable hardware, and wireless measurements. Principles of self-organization from nature are applied to technical systems. The project portfolio spans from basic concepts and theory to experimental work with industrial partners.
Current activities focus on interference in wireless systems, network synchronization, reliability of sensor networks in industrial environments, design and experimental evaluation of autonomous and/or networked drones, and optimization of autonomous transport systems. The group is part of a doctoral school on networked autonomous aerial vehicles and an interdisciplinary cluster on self-organizing systems.
- Interference dynamics in wireless networks
- Cooperative relaying in wireless networks
- Self-organizing synchronization
- Multi-drone systems: Communications and coordination
- Coordinated multi-robot exploration
Industrial partners include Airbus Group Innovations, DOCOMO, SKIDATA, and Orange Labs.
- Electricity and magnetism
- Programming in C/C++
- Introductory Lab: Sensor networks
- Mobile communications
- Wireless networks
- Simulation of networked systems
- Stochastic modeling and analysis of networked systems
And several seminars and student projects.