Artikel in Tagungsband INPROC-2005-67

Bibliograph.
Daten
Marrón, Pedro José; Minder, Daniel; Lachenmann, Andreas; Rothermel, Kurt: TinyCubus: A Flexible and Adaptive Cross-Layer Framework for Sensor Networks.
In: 4. GI/ITG KuVS Fachgespräch "Drahtlose Sensornetze", Technical Report TR 481, Computer Science Department, ETH Zurich.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 49-54, deutsch.
N/A, März 2005.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.1 (Network Architecture and Design)
C.2.2 (Network Protocols)
Kurzfassung

With the proliferation of sensor networks and sensor network applications during the last few years, the overall complexity of such systems is continuously increasing. Sensor networks are now heterogeneous in terms of their hardware characteristics and application requirements even within a single network. In addition, the requirements of current applications are expected to change over time. All of this makes developing, deploying, and optimizing sensor network applications an extremely difficult task. In the TinyCubus project we research a necessary infrastructure to support the complexity of such systems.

TinyCubus consists of a data management framework, a cross-layer frame work, and a configuration engine. The data management framework allows the dynamic selection and adaptation of system and data management components. The cross-layer framework supports data sharing and other forms of interaction between components in order to achieve cross-layer optimizations. The configuration engine allows code to be distributed reliably and efficiently by taking into account the topology of sensors and their assigned functionality.

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Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)TinyCubus
Eingabedatum23. Januar 2006
   Publ. Institut   Publ. Informatik