Bibliograph. Daten | Marrón, Pedro; Lachenmann, Andreas; Minder, Daniel; Hähner, Jörg; Rothermel, Kurt; Becker, Christian: Adaptation and Cross-Layer Issues in Sensor Networks. In: Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference : ISSNIP '04 ; Melbourne, December 14-17, 2004. Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme). S. 623-628, englisch. self-publisher, Dezember 2004. ISBN: 0-7803-8894-1. Artikel in Tagungsband (Konferenz-Beitrag).
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CR-Klassif. | C.2.1 (Network Architecture and Design) C.2.2 (Network Protocols) D.4.7 (Operating Systems Organization and Design)
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Keywords | sensor network; system architecture; adaptation; framework; code distribution; cross-layer |
Kurzfassung | An intrinsic characteristic of current projects in the area of sensor networks is the heterogeneity of hardware and application requirements. In addition, the requirements of current applications are expected to change over time. 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 crosslayer framework for TinyOS-based sensor networks that aims at providing the necessary infrastructure to cope with the complexity of such systems. TinyCubus consists of three parts: 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. We show the feasibility of our architecture by describing and evaluating a code distribution algorithm that optimizes its behavior by using application knowledge about the sensor topology.
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Volltext und andere Links | PDF (90841 Bytes)
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Copyright | 2004 IEEE |
Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
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Projekt(e) | SFB-627, B3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme) TinyCubus
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Eingabedatum | 17. Januar 2005 |
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