Protocols and Algorithms for Energy-efficient Reference Signal and EMG Sensor Data Transmission Integrating Local Energy Harvesting (B02)

• Subject Area: Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 442419336

Analytical and data-based models for the hardware components and signal processing blocks of the EmpkinS Beacon and base stations suitable for resource allocation design will be developed. Based on these models, optimization problems will be formulated and, based on their solutions, resource allocation protocols and algorithms will be designed. The most promising resource allocation concepts will then be implemented, verified, and further refined in an experimental system.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1483: Empathokinaesthetic Sensor Technology – Sensor Techniques and Data Analysis Methods for Empathokinaesthetic Modeling and Condition monitoring
• Applicant Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
• Project Head: Professor Dr.-Ing. Robert Schober