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
Lightweight simulation of hybrid aerial- and ground-based vehicular communication networks
B. Sliwa, M. Patchou, C. Wietfeld
In 2019 IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, Hawaii, USA, September 2019.
Lightweight simulation of hybrid aerial- and ground-based vehicular communication networks
B. Sliwa, M. Patchou, C. Wietfeld
In 2019 IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, Hawaii, USA, September 2019.
Boosting vehicle-to-cloud communication by machine learning-enabled context prediction
B. Sliwa, R. Falkenberg, T. Liebig, N. Piatkowski, C. Wietfeld
In IEEE Transactions on Intelligent Transportation Systems, July 2019.
ATLAS FaST: Fast and Simple Scheduled TDOA for Reliable Ultra-Wideband Localization
J. Tiemann, Y. Elmasry, L. Koring, C. Wietfeld
In IEEE International Conference on Robotics and Automation (ICRA), Montréal, Canada, May 2019.
LIMoSim: A framework for lightweight simulation of vehicular mobility in intelligent transportation systems
B. Sliwa, C. Wietfeld
Chapter in Recent Advances in Network Simulation - The OMNeT++ Environment and its Ecosystem Springer International Publishing
Performance evaluation and optimization of B.A.T.M.A.N. V routing for aerial and ground-based mobile ad-hoc networks
B. Sliwa, S. Falten, C. Wietfeld
In 2019 IEEE 89th Vehicular Technology Conference (VTC-Spring), Kuala Lumpur, Malaysia, April 2019.
Coverage and Link Quality Improvement of Cellular IoT Networks with Multi-Operator and Multi-Link Strategies
P. Jörke, J. Güldenring, S. Böcker, C. Wietfeld
In 2019 IEEE 89th Vehicular Technology Conference (VTC-Spring), Kuala Lumpur, Malaysia, April 2019.
LPWAN in the Context of 5G: Capability of LoRaWAN to Contribute to mMTC
S. Böcker, C. Arendt, P. Jörke, C. Wietfeld
In 2019 IEEE World Forum on Internet of Things (WF-IoT 2019), April 2019.
Software-Defined End-to-End Evaluation Platform for Quality of Service in Non-Standalone 5G Systems
K. Heimann, P. Gorczak, C. Bektas, F. Girke, C. Wietfeld
In 2019 Annual IEEE International Systems Conference (SysCon), Orlando, Florida, USA