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Connected, Embedded Devices


Connected and embedded devices are finding their way into more and more areas of our everyday lives. Examples are transportation, commerce, or electronic health. The ubiquity of those devices stresses the importance of their seamless interaction and integration, but also imposes new challenges with respect to security and privacy, reliability, safety or, quality of service.

Our vision are scalable, distributed, self-* aware middleware platforms that on the one hand seamlessly integrate ubiquitous devices and sensors and, on the other hand, provide a uniform service execution platform to bridge the gap between data acquisition and processing. Device-management and integration is heavily influenced by the huge variety of devices and sensors, where both amount and alignment of data differ with respect to the application domain (e-health, smart home/building, smart grids, industry 4.0, ...). Proper device management platforms need to be reconfigurable at runtime in order to cope with the dynamically changing set of devices and emitted data streams. Recorded data streams need to be semantically aligned and properly delivered to connected services, where dynamic network structures and non-functional requirements are to be taken into account. The complexity and distributed fashion of the middleware platform need to be hidden from the services layer, in order to provide a uniform service ecosystem on top of the integration platform itself.

Our solutions are based on hybrid concepts from several ICT research domains, where integration is the keyword. The integration of concepts from these domains leads to complex and distributed systems, where new research questions arise out of their combination. Selected research topics are:

  • Internet of Things
  • Cyber Physical Systems
  • Pervasive Cloud Computing Approaches (Sensor-Virtualization, Mobile Cloud Computing, Sharing of Sensors)
  • Self-* Technologies (Self-Organization, Self-Management, Self-Healing)
  • Non-functional requirements and QoS
  • Reliable Systems, Real-Time Systems
  • Data-centric architectures
  • Security and Privacy, Identity Management

Current Research Projects

Forschungscampus Connected Technologies

The aim of the Forschungscampus Connected Technologies project is to establish an interdisciplinary, long term research cluster, where partners from academia and industry together work towards efficient technologies that integrate and connect devices and systems for smart homes and smart buildings. read more

RehaInteract - 3D kinesitherapy for domestic environments

The research project RehaInteract aims to develop a sensor-based interaction- and communication-platform for the therapeutic attendance of rehabilitation exercises in domestic environments. The platform shall support individual exercises related to the particular deficit of a patient by utilizing local and environmental embedded pressure, movement and, optical sensors. read more

The Picture - Distributed, self-* aware middleware platform

DN = Device Node, AN = Aggregator Node, BN = Backend Node

Node types:

  • Device Nodes: highly resource constrained, no custom components, sense environment and transmit results
  • Aggregation Nodes: resource constrained but with custom components, discover and pair devices, aggregate and process data, interoperability enabler
  • Backend Nodes: "no resource constraints",  aggregate and process data, services for storage, monitoring, configuration, management, enabler for security and mobility enhancements 
Distributed middleware - the challenges:
  • handle nodes that come and go
  • provide one uniform service execution platform among all nodes
  • ensure non-functional requirements
  • allow for multi-user scenarios, sharing of resources

Zusatzinformationen / Extras

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Odej Kao
+49 (30) 314-24230
Room E-N 158


Dr. Andreas Kliem
+49 (30) 314-78591
Room E-N 175