Artikel in Tagungsband INPROC-2005-15

Bibliograph.
Daten
Marrón, Pedro José; Lachenmann, Andreas; Minder, Daniel; Hähner, Jörg; Sauter, Robert; Rothermel, Kurt: TinyCubus: A Flexible and Adaptive Framework for Sensor Networks.
In: Cayirci, Erdal (Hrsg); Baydere, Sebnem (Hrsg); Havinga, Paul (Hrsg): Proceedings of the Second European Workshop on Wireless Sensor Networks (EWSN 2005).
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 278-289, englisch.
Istanbul, Turkey: IEEE, Januar 2005.
ISBN: 0-7803-8801-1.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.1 (Network Architecture and Design)
C.2.2 (Network Protocols)
D.4.7 (Operating Systems Organization and Design)
Keywordssensor network; system architecture; adaptation; framework; code distribution; cross-layer
Kurzfassung

With the proliferation of sensor networks and sensor network applications, 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 currently supported applications are expected to change over time. All of this makes developing, deploying, and optimizing sensor network applications an extremely difficult task. In this paper, we present the architecture of TinyCubus, a flexible and adaptive cross-layer framework for TinyOS based sensor networks that aims at providing the necessary infrastructure to cope with the complexity of such systems. TinyCubus consists of a data management framework that selects and adapts both system and data management components, a cross-layer framework that enables optimizations through cross-layer interactions, and a configuration engine that installs components dynamically. Furthermore, we show the feasibility of our architecture by describing and evaluating a code distribution algorithm that uses application knowledge about the sensor topology in order to optimize its behavior.

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Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)SFB-627, B3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme)
TinyCubus
Eingabedatum11. Februar 2005
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