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
Ultra-Wideband Antenna-Induced Error Prediction using Deep Learning on Channel Response Data
J. Tiemann, J. Pillmann, C. Wietfeld,
In IEEE Vehicular Technology Conference (VTC-Spring), Sydney, Australia, June 2017.
Radio-based Traffic Flow Detection and Vehicle Classification for Future Smart Cities
M. Haferkamp, et al.,
In IEEE Vehicular Technology Conference (VTC-Spring), Sydney, June 2017.
Rushing Full Speed with LTE-Advanced is Economical - A Power Consumption Analysis
R. Falkenberg, B. Sliwa, C. Wietfeld,
In IEEE Vehicular Technology Conference (VTC-Spring), Sydney, Australia, June 2017.
Car-To-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model
J. Pillmann, B. Sliwa, J. Schmutzler, C. Ide, C. Wietfeld,
In IEEE Vehicular Technology Conference (VTC-Spring), Sydney, Australia, June 2017.
A simple scheme for distributed passive load balancing in mobile ad-hoc networks
B. Sliwa, R. Falkenberg, C. Wietfeld,
In IEEE Vehicular Technology Conference (VTC-Spring), Sydney, June 2017.
Payload-Size and Deadline-Aware Scheduling for Time-critical Cyber Physical Systems
M. Haferkamp, B. Sliwa, C. Ide, C. Wietfeld,
In Wireless Days 2017, Porto, Portugal, March 2017.
B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks
B. Sliwa, D. Behnke, C. Ide, C. Wietfeld,
In IEEE GLOBECOM 2016 Workshop Wi-UAV, Washington D.C., USA, December 2016.
Multi-User Interference and Wireless Clock Synchronization in TDOA-based UWB Localization
J. Tiemann, F. Eckermann, C. Wietfeld,
In 2016 IPIN, Alcalá de Henares, Madrid, Spain, October 2016.
ATLAS - An Open-Source TDOA-based Ultra-Wideband Localization System
J. Tiemann, F. Eckermann, C. Wietfeld,
In 2016 IPIN, Alcalá de Henares, Madrid, 2016.