TinyCubus: A Flexible and Adaptive Cross-Layer Framework for Sensor Networks

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 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.