Information and Energy

Sensors require data processing capabilities to analyse the signals they record. This requires energy. If this task of deriving information from raw data is to be done at least in part locally, energy must be supplied to each individual sensor node. The same is necessary if the sensor function itself requires energy, as is the case for strain gauges, which rely on changes in resistance. To measure these, a current needs to pass through the sensor, and thus some power supply is mandatory.
  • Development of algorithms and methods for context-sensitive extraction of information from sensor data.
  • Development of communication strategies for sensor networks and derivation of communication protocols.
  • Simulation and evaluation of communication processes in sensor networks.
  • Integrated consideration and simulation of energy sources, consumers and storage in sensor networks.
  • Task-based development, testing and evaluation (software- and hardware-in-the-loop) of energy management concepts for sensor networks.
  • Wireless and wired information and energy transmission.
Finer granularity of sensor networks in combination with a desired real-time availability of information leads to a need for new and faster principles of information retrieval, including localised data processing in smart sensor nodes. Higher connectivity in advanced sensor networks motivates further development efforts in the field of wireless communication. Both aspects fuel interest in localised energy supply, including energy harvesting approaches. Success of these approaches depends on intelligently using limited resources in largely autonomous sensor networks. The issue is complicated by the fact that information retrieval is connected to energy consumption, a fact which links data processing, organisation of communication and energy management as fields of research.