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GRK 1194:  Self-organising Sensor-Actuator-Networks

Subject Area Computer Science
Term from 2005 to 2014
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 819604
 
Sensor-actuator networks consist of a large number of possibly miniaturised nodes that are embedded in the environment, connected via wireless communications, and able to collaboratively observe and control a distributed phenomenon. A large number of nodes provides a good spatial resolution as well as a high fault tolerance. However, the energy constraints resulting from the required autonomy nodes impose severe performance limits with respect to communication bandwidth and processing power and, hence, provide a challenge for architectural design and operation of this type of networks.
Within the framework of this Research Training Group, the fundamental problems within the area of sensor-actor networks will be addressed. This includes the whole spectrum from communication and signal processing to hardware/software system integration. Our research activities aim to provide a unifying view to the closely coupled problem areas that have so far only been addressed in isolation. These research activities include the joint examination of query processing, content-based addressing, energy efficiency, and self-organising middleware, which will be achieved by a close cooperation of experts from different disciplines. An integrated treatment and the development of a systematic approach to sensor-actor network design represent our key interests.
Thanks to the customised curriculum, doctoral students will obtain a broad overview within the area of self-organising sensor-actuator-networks. In addition to lectures on specialised topics, a series of short lectures, seminars, and laboratory experiments are available. Weekly meetings are conducted in order to help the group grow together. Furthermore, block meetings of several days duration (workshops, summer schools, and research seminars) will be held twice a year. A colloquium held once a year will be used as platform for presenting research results to the open public.
DFG Programme Research Training Groups
Applicant Institution Karlsruher Institut für Technologie
 
 

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