The Sensor Networks and Middleware Platforms research group uses a holistic approach to investigate wireless sensor networks in terms of cyber-physical systems of systems.
The challenge is that wireless sensor networks (WSNs) consist of low-cost components with limited resources, but they still need to achieve high durability, reliability and a high level of IT security. These requirements arise from application areas such as the Future Internet or the Internet of Things (IoT), environmental monitoring, smart city, factory automation and the fields of telemedicine and tele-rehabilitation.
For the integration of wireless sensor networks into larger systems, e.g. in the context of the IoT, software architectures such as middleware, operating system abstractions, secure code update and software development environments are being investigated and implemented. For the evaluation of these concepts, test networks are set up in the IHP building with up to 100 devices and also in real environments, cf. also the SmartRiver project.
Since 2018, the department has been investigating the integration of artificial intelligence methods into the above-mentioned application areas. The challenge here is to develop energy-efficient implementations of suitable AI methods. Initial methods have already been investigated for the areas of IT security and e-health. Further projects are in preparation.
- low power protocols
- design methodologies for complex hardware-software systems
- context sensitive middleware
- energy-efficient AI implementations
- elastic computing
- protocol design & in-network processing
- extremely lightweight IDS realizations for embedded systems
- AI-based attack detection for networks as well as for individual devices
- energy efficient implementations of protocols and middleware
- system integration software & hardware
- security and privacy
- application development
MyAirCoach adapter for asthma inhalators. In a small field study with approx. 45 participants the application of the adapter led to a significant improvement in the health conditions of the study participants.
WISDOM platform: Tools for the measurement of energy consumption in the field, allows very detailed profiling of the energy consumption of the executed software (Best Paper Award SPS 2017); utilization in current IHP projects, at the University of Potsdam and the University Javeriana, Colombia
In the framework of the EU project e-balance a software was developed which independently switches household appliances on and off depending on the availability of renewable energy. This was made available for use for several months in 25 cottages, whose residents are non-professionals.