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TinyCubus: A Flexible and Adaptive Framework for Sensor Networks (2005)
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| Venue: | In EWSN’05 |
| Citations: | 43 - 7 self |
BibTeX
@INPROCEEDINGS{Marrón05tinycubus:a,
author = {Pedro José Marrón and Andreas Lachenmann and Daniel Minder and Jörg Hähner and Robert Sauter and Kurt Rothermel},
title = {TinyCubus: A Flexible and Adaptive Framework for Sensor Networks},
booktitle = {In EWSN’05},
year = {2005},
pages = {278--289}
}
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Abstract
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 TinyOSbased 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.
Keyphrases
sensor network adaptive framework sensor network application single network difficult task hardware characteristic sensor topology data management framework cross-layer framework configuration engine cross-layer interaction necessary infrastructure code distribution algorithm data management component overall complexity adaptive cross-layer framework application requirement application knowledge
