Collaborative Research Center 876
The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.
Project duration: 01.01.2015 - 31.12.2022
Project Composition of the SFB 876
The collaborative research center is divided into multiple projects. An extensive overview of all projects and their main objective can be found on the homepage of the SFB 876.
The Communication Networks Institute attends projects A4 and B4
News
Excellent wireless localization technology - CNI team wins IPIN competition
The CNI team (Janis Tiemann, Fabian Eckermann and Christian Wietfeld) won first prize in the "Indoor Mobile Robot Localization" category within the…
ComNets-Awards for Graduates of the Institute
The coveted awards by the "Verein der Freunde und Förderer der ComNets-Einrichtungen", who dedicated themselves to the research on future…
Collaborative Research Center with CNI-Participation Approved for 4 More Years
In the Collaborative Research Center 876 (SFB 876), the combination of data analysis (Data Mining/Big Data) with networked, embedded systems…
Successful Completion of Björn Dusza's Doctoral Studies in the Collaborative Research Center 876
Due to strongly increasing data traffic in mobile communications, the influence of the intensive use of mobile services on the battery life of…
Publications
System-of-systems modeling, analysis and optimization of hybrid vehicular traffic
B. Sliwa, T. Liebig, T. Vranken, M. Schreckenberg, C. Wietfeld
In 2019 Annual IEEE International Systems Conference (SysCon), Orlando, Florida, USA
A Realistic Evaluation of Indoor Robot Position Tracking Systems: The IPIN 2016 Competition Experience
M. C. P. Rubio, et al.
In Measurement, vol. 135, pp. 151–162, March 2019.
Scalability, Real-Time Capabilities and Energy Efficiency in Ultra-Wideband Localization
J. Tiemann, C. Wietfeld
In IEEE Transactions on Industrial Informatics, IEEE, vol. 15, no. 12, pp. 6313–6321, December 2019.
Supporting Maritime Search and Rescue Missions through UAS-based Wireless Localization
J. Tiemann, O. Feldmeier, C. Wietfeld
In IEEE Global Communications Conference Workshops (GLOBECOM Workshops), Abu Dhabi, United Arab Emirates, 2018
Power Consumption Analysis of NB-IoT and eMTC in Challenging Smart City Environments
P. Jörke, R. Falkenberg, C. Wietfeld
In IEEE Global Communications Conference Workshops (GLOBECOM Workshops), Abu Dhabi, United Arab Emirates.
Towards 5G: An Empirical Evaluation of Software-Defined End-to-End Network Slicing
C. Bektas, S. Monhof, F. Kurtz, C. Wietfeld,
In 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, December 2018.
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting
B. Sliwa, N. Piatkowski, M. Haferkamp, D. Dorn, C. Wietfeld,
In 2018 IEEE 21st International Conference on Intelligent Transportation Systems (ITSC).
Cellular Network Coverage Analysis and Optimization in Challenging Smart Grid Environments
S. Monhof, S. Böcker, J. Tiemann, C. Wietfeld,
In 2018 IEEE International Conference, Aalborg, Denmark, October 2018.
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication
B. Sliwa, J. Pillmann, M. Klaß, C. Wietfeld,
In 2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall), Chicago, USA, August 2018.