Volker Turau
Prof. Dr. rer. nat. Volker Turau
Room 4.088, building E
Am Schwarzenberg-Campus 3
21073 Hamburg
Am Schwarzenberg-Campus 3
21073 Hamburg
+49 40 42878 - 3530
I am professor at Hamburg Universtity of Technology since October 2002.
Program Committee Activities |
Editorial Activities |
CV |
Ph.D. students
Books
Algorithmische Graphentheorie - 4., extended and revised edition
De Gruyter Studium, 2015, ISBN 978-3-110-41727-2 (Solutions)
De Gruyter Studium, 2015, ISBN 978-3-110-41727-2 (Solutions)
Erdős number
My Erdős number is 3.
Teaching
- Distributed Algorithms
- Distributed Systems
- Operating Systems
- Randomised Algorithms and Random Graphs
- Software for Embedded Systems
- Algorithmische Graphentheorie
- Container-Virtualisierung unter Linux
- Effiziente Algorithmen für Software-Defined Radio Anwendungen
- Intelligente Stromnetze: Kommunikation, Regelung, Sicherheit und Privatsphäre
Publications
Florian Meyer, Phil Malessa, Jan Diercks and Volker Turau. Are Group Acknowledgements Worth Anything in IEEE 802.15.4 DSME: A Comparative Analysis. In Accepted for Publication in Proceedings of 5th International Conference on Cloud and Internet of Things, CIoT '22, IEEE, March 2022. Marrakesh, Morocco.
@InProceedings{Telematik_CIoT_2021,
author = {Florian Meyer and Phil Malessa and Jan Diercks and Volker Turau},
title = {Are Group Acknowledgements Worth Anything in IEEE 802.15.4 DSME: A Comparative Analysis},
booktitle = {Accepted for Publication in Proceedings of 5th International Conference on Cloud and Internet of Things, CIoT '22},
pages = ,
publisher = {IEEE},
day = {28-30},
month = mar,
year = 2022,
location = {Marrakesh, Morocco},
}
Jan Berling, Philipp Hastedt, Shashini T. Wanniarachchi, Andreas Vieregg, Carsten Gertz, Volker Turau, Herbert Werner and Volker Gollnick. A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction. In Deutscher Luft- und Raumfahrtkongress 2022 (DLRK22), DGLR, September 2022. Dresden, Germany.
@InProceedings{Telematik_dlrk_2022,
author = {Jan Berling and Philipp Hastedt and Shashini T. Wanniarachchi and Andreas Vieregg and Carsten Gertz and Volker Turau and Herbert Werner and Volker Gollnick},
title = {A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction},
booktitle = {Deutscher Luft- und Raumfahrtkongress 2022 (DLRK22)},
pages = ,
publisher = {DGLR},
day = {27-29},
month = sep,
year = 2022,
location = {Dresden, Germany},
}
Abstract:
We present a modular simulation toolchain for urban air mobility (UAM), used to investigate interdisciplinary challenges in research fields like transportation planning, air-traffic research, control systems and telematics. The framework can be enhanced to evaluate the connection between travel times and demand, or the inter-dependence of U-Space regulations and self-separation performance. In an example scenario, UAM demand is based on the share of passengers using existing modes in a transportation model. Missions for urban air routes are computed on a layered grid, and conflicts are resolved in a pre-departure scheduling. The multi-agent simulation framework based on OMNeT++ integrates complex dynamics and guidance, navigation, and control algorithms, as well as different communication protocols like 5G. We evaluate a workflow for the city of Hamburg with several thousand flights, based on transportation-related key-performance-indicators.
Tom Steffen, Béla Wiegel, Davood Babazadeh, Amine Youssfi, Christian Becker and Volker Turau. Generation of Realistic Smart Meter Data from Prosumers for Future Energy System Scenarios. In Proceedings of Conference on Sustainable Energy Supply and Energy Storage Systems (NEIS 2022), VDE, September 2022. Hamburg, Germany.
@InProceedings{Telematik_neis_2022,
author = {Tom Steffen and Béla Wiegel and Davood Babazadeh and Amine Youssfi and Christian Becker and Volker Turau},
title = {Generation of Realistic Smart Meter Data from Prosumers for Future Energy System Scenarios},
booktitle = {Proceedings of Conference on Sustainable Energy Supply and Energy Storage Systems (NEIS 2022)},
pages = ,
publisher = {VDE},
day = {26-27},
month = sep,
year = 2022,
location = {Hamburg, Germany},
}
Abstract:
Future energy systems with high proportion of intermittent and distributed renewable generation need the coupling of the energy sectors electricity, gas and heat into an integrated energy system. In order to achieve supply safety for this novel system, advanced operational concepts will be required. These advanced algorithms, like for example integrated grid state identification and prognosis, require a high amount of data with a high temporal resolution for testing and evaluation. In German electrical energy systems, grid operators rely on the currently ongoing smart meter rollout for the purpose of data acquisition. Nevertheless, these large amounts of data are hard to obtain and are often restricted due to reasons of privacy. Furthermore, this data belongs to the actual grid situation and is therefore not identical to the data expected in future grid scenarios. In this paper, an approach to synthetically generate realistic future smart meter data is proposed. The household technologies and smart meter are modeled with the open-source TransiEnt Library for dynamic modeling of integrated energy systems. Furthermore, the models are tested and evaluated with real smart meter measurement data from different households in Lower Saxony.
The complete list of publications is available separately.