SenQ: An Extensible Query System for Streaming Data in Heterogeneous Interactive Wireless Sensor Networks

Interactive wireless sensor networks (IWSNs) manifest di- erse application architectures, hardware capabilities, and user inter- actions that challenge existing centralized [1], or VM-based [2] query system designs. To support in-network processing of streaming sensor data in such heterogeneous environments, we created SenQ, a multi- layer embedded query system. SenQ enables user-driven and peer-to- peer in-network query issue by wearable interfaces and other resource- constrained devices. Complex virtual sensors and user-created streams can be dynamically discovered and shared, and SenQ is extensible to new sensors and processing algorithms. We evaluated SenQ�s efficiency and performance in a testbed for assisted-living, and show that on-demand buffering, query caching, efficient restart and other optimizations reduce network overhead and minimize data latency.

Wood, Anthony, Leo Selavo, and John Stankovic. "SenQ: An Extensible Query System for Streaming Data in Heterogeneous Interactive Wireless Sensor Networks." University of Virginia Dept. of Computer Science Tech Report (2008).