Dipl.-Inform. Marco Ziegert
AG Technische Informatik
Institut für Informatik
Fachbereich Mathematik und Informatik
I joined the working group Computer Systems & Telematics (CST) at the Institute of Computer Science, Freie Universität Berlin in January 2010, after graduation with the degree Diploma in 2010.
VIVE investigates new applications that benefit of an in-network evaluation of predefined events. The wireless Compounds of sensor nodes are sharing information in a cooperative way which allows to evaluate events autonomously within the network. transferred data is reduced and evaluated within the network which allows short response time on events. As a result, the lifetime of the whole network will be enhanced. More information about the VIVE project is available on the VIVE homepage.
AVS-Extrem is a use case for Wireless Sensor Networks (WSNs) focused on collaborative, in-network data processing. The goal is to develop a distributed event detection system that can reliably report security relevant incidents (e.g. a person climbing over a fence and accessing restricted areas) to a base station. The vision is that through cooperation of many sensor nodes the accuracy of event detection can be greatly improved, while at the same time saving energy by reducing multi-hop communication with the base station. More information about the AVS-Extreme project is available on the AVS-Extrem homepage.
Voicelink is a system for autonomous nightingale song recording. It incorporated a number of cheap netbook computers spanning a wireless mesh network. Each netbook was capable of using few wired microphones for simultaneous nightingale song recording. The system was extended with a small embedded device based on an ARM microcontroller that could be easily placed very close to a nightingale nest. Management software supported reconfiguration of recording schedules and remote download of nightingale song records. Read more about the VoiceLink Project.
Voicelink is part of:
- Environmental Monitoring
In natural sciences, research often relies on extensive manual investigation. Such methods can be error-prone and obviously don’t scale well. The development of autonomous data acquisition systems based on Wireless Sensor Networks (WSNs) research has provides a method to significantly reduce the amount manual of work during field studies. It allows addressing of scientific questions that were previously infeasible.
Our research group gathered comprehensive experience in creating robust WSN based systems for environmental monitoring. In the recent years we worked in close collaboration with researchers from natural science area and together, we built and deployed a number of WSNs that run autonomously under real-world conditions.
More information about the project is available on the project hompeage.
- Martin Seiffert, Norman Dziengel, Marco Ziegert, Robert Kerz and Jochen Schiller. Towards motion characterization and assessment within a wireless body area network. In Springer Lecture Notes in Computer Science (LNCS), September 2015. (Accepted, Publication pending)
- Marco Ziegert, Norman Dziengel, Martin Seiffert, Stefan Pfeiffer and Jochen Schiller. A Developer and a Reference Board for Distributed Motion Evaluation in Wireless Sensor Networks. In Proceedings of the IEEE International Conference on Industrial Technology (ICIT '15), March 2015.
Norman Dziengel, Georg Wittenburg, Stephan Adler, Zakaria Kasmi, Marco Ziegert and Jochen H. Schiller. Book Chapter: Event Detection in Wireless Sensor Networks, in Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing, and Machine Learning, Fei Hu and Qi Hao (ed.), Taylor & Francis LLC, pp. 441-458, CRC Press 2012.
Georg Wittenburg, Norman Dziengel, Stephan Adler, Zakaria Kasmi, Marco Ziegert and Jochen H. Schiller. Cooperative event detection in wireless sensor networks. IEEE Communications Magazine 50(12): 124-131 (2012)
Norman Dziengel, Marco Ziegert, Stephan Adler, Zakaria Kasmi, Martin Seiffert and Jochen Schiller. Verteilte Ereigniserkennung in drahtlosen Sensornetzen überwacht Zaun-, Reha- und Sportanwendungen. Fachzeitschrift für Aufbau- und Verbindungstechnik in der Elektronik PLUS, März 2012 Band 14, S. 629-635
Norman Dziengel, Marco Ziegert, Stephan Adler, Zakaria Kasmi, Stefan Pfeiffer and Jochen Schiller. Energy-Aware Distributed Fence Surveillance for Wireless Sensor Networks. In Proceedings of the 7th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP '11)
Norman Dziengel, Marco Ziegert, Stephan Adler, Zakaria Kasmi und Jochen Schiller. Herausforderungen der verteilten Ereigniserkennung in drahtlosen Sensonetzen. In: Microsystemtechnik Kongress 2011, Darmstadt, Germany (MST 2011)
Norman Dziengel, Marco Ziegert, Martin Seiffert, Georg Wittenburg, and Jochen Schiller. Integration of Distributed Event Detection in Wireless Motion-Based Training Devices. In Proceedings of the 1st IEEE International Conference on Consumer Electronics (ICCE '11), Berlin, September 2011. (slides), (video)
Norman Dziengel, Marco Ziegert, Zakaria Kasmi, Frederik Hermans,Stephan Adler, Georg Wittenburg, and Jochen Schiller. A Platform for Distributed Event Detection in Wireless Sensor Networks. In: First International Workshop on Networks of Cooperating Objects(CONET 2010). Stockholm, Sweden (Apr 2010). (slides)
Marco Ziegert - Diploma Thesis: Autonomous Wildlife Monitoring - Design, implementation, and evaluation of an embedded platform for nightingale song recording., Berlin 2010
Open Bachelor / Master Theses topics
Project Autonomous Wildlife Monitoring:
- Design, Implementation, and Evaluation of a wireless solution for Distributed Acoustic Localization and Pattern Matching (Master/Diploma)
- Implementierung und Evaluierung von Energy Harvesting zum autarken Einsatz eines Cortex-M4F basierten drahtlosen Sensorknoten (Bachelor)
+ Distributed Acoustic Event Detection
+ Embedded sound processing
+ Suggestions? Possible topics: Evaluation of Embedded Platforms, Embedded Devices, Integration of new Sensors, Distributed Event Detection.
Diploma: Autonomous Wildlife Monitoring: Design, Implementation, and Evaluation of a wireless solution for long term nightingale song recording - David Reinsch (2012)
Bachelor: Implementation und Synthese des Wavpack-Audiokodierungsalgorithmus für einen FPGA - Maximilian Alber (2012)
Bachelor: Evaluation of embedded platforms for nightingale song processing - Adam Furmańczuk (2013)
Master: Design, Implementation and Evaluation of Energy Efficient Over the Air Programming of Wireless Sensor Networks - Hans-Christian Halfbrodt (2015)
I participated in:
- Lange Nacht der Wissenschaften 2014
- Lange Nacht der Wissenschaften 2013
- Lange Nacht der Wissenschaften 2012
- Lange Nacht der Wissenschaften 2011- AVS-Extrem Routing & Fight Stick Demo
- Lange Nacht der Wissenschaften 2010- AVS-Extrem Distributed Event Detection Demo
- Lange Nacht der Wissenschaften 2009- Nightingale Voicelink - Diploma thesis Platfom