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 TinyCubus we research the necessary software architecture to cope with the complexity of such systems.

Our architecture consists of a data management framework, a cross-layer framework, 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.

For more information as well as relevant publications please visit the TinyCubus project page.