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Adaptation and Cross-Layer Issues in Sensor Networks

contributor Institut für Parallele und Verteilte Systeme, Verteilte Systeme
creator Marrón, Pedro
Lachenmann, Andreas
Minder, Daniel
Hähner, Jörg
Rothermel, Kurt
Becker, Christian
date 2004
description 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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identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2004-52&engl=1
ISBN: 0-7803-8894-1
language eng
publisher University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems)
self-publisher
source In: Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference : ISSNIP '04 ; Melbourne, December 14-17, 2004, pp. 623-628
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2004-52/INPROC-2004-52.pdf
subject Network Architecture and Design (CR C.2.1)
Network Protocols (CR C.2.2)
Operating Systems Organization and Design (CR D.4.7)
sensor network
system architecture
adaptation
framework
code distribution
cross-layer
title Adaptation and Cross-Layer Issues in Sensor Networks
type Text
Article in Proceedings