3 D. Klan* K. Hose* M. Karnstedt K. Sattler* 2010 Power-Aware Data Analysis in Sensor Networks Demo Proceedings of the 26th International Conference on Data Engineering Long Beach, California, USA IEEE <p>Sensor networks have evolved to a powerful infras- tructure component for event monitoring in many application scenarios. In addition to simple filter and aggregation operations, an important task in processing sensor data is data mining &ndash; the identification of relevant information and patterns. Limited capabilities of sensor nodes in terms of storage and processing capacity, battery lifetime, and communication demand a power- efficient, preferably sensor-local processing. In this paper, we present AnduIN, a system for developing, deploying, and running in-network data mining tasks. The system consists of a data stream processing engine, a library of operators for sensor-local processing, a box-and-arrow editor for specifying data mining tasks and deployment, a GUI providing the user with current information about the network and running queries, and an alerter notifying the user if a better query execution plan is available. At the demonstration site, we plan to show our system in action using burst detection as example application.</p>

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