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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 cross-layer framework that enables
optimizations through cross-layer interactions, a configuration
engine that distributes components efficiently by considering the
roles of the sensor nodes and provides support to install components
dynamically, and a data management framework that selects and adapts
both system and data management components. Finally, relevant
research challenges associated with the development of each
framework are identified and discussed in the paper.
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