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| description |
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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| type |
Text
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| Article in Proceedings
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| source |
In: 4. GI/ITG KuVS Fachgespräch "Drahtlose Sensornetze",
Technical Report TR 481, Computer Science Department, ETH Zurich,
pp. 49-54
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| ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2005-67/INPROC-2005-67.pdf
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| contributor |
IPVS, Verteilte Systeme
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| format |
application/pdf
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| 76020 Bytes
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| subject |
Network Architecture and Design (CR C.2.1)
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| Network Protocols (CR C.2.2)
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