Energy-optimized data transport in wireless IoT networks
INPAKT aims to develop an energy-optimized LPWAN platform for wireless sensor networks in the Internet of Things. Its focus is on communication protocols and the energy requirements of end nodes. The research considers how data can be transmitted over long distances while supporting battery-powered sensor operation.
Existing technologies, including LoRaWAN, SigFox, NB-IoT and LTE-M, provide the starting point. Their consumption characteristics and underlying energy models are subjects of systematic analysis. The approach also includes the development of a new modulation method, energy-efficient protocols and algorithms.
Lower energy requirements and longer battery life are development objectives. The research therefore considers consumption alongside transmission quality. This description outlines methods and evaluation criteria; it does not establish specific range or battery-life improvements.
Research topics
- Analysis of existing LPWAN technologies and their energy consumption models.
- Experimental investigation of energy consumption, reliability, throughput and latency.
- Identification of potential savings and optimization of data transmission.
- Investigation of machine learning for predictive ADR mechanisms to anticipate suitable data rates.
Acknowledgments
This project is funded by the European Regional Development Fund (ERDF) and the state of Saxony-Anhalt as part of the Saxony-Anhalt SCIENCE - Research and Innovation (ERDF) 2021-2027 program (funding reference: ZS/2023/12/182160).
