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Wireless sensor networks naturally apply to a wide range of system monitoring tasks. Meanwhile, there are obvious performance deficiencies in applying existing sensornets in mission-critical monitoring applications, where a system failure is often catastrophic. In this project we explore a database-driven approach to optimize monitoring queries in wireless sensor networks. We develop novel cross-layer optimization techniques that utilize information about how the lower network layers operate while processing the queries in critical sensor environments. Our framework enables both qualitative analysis and quantitative cost-based optimization of sensor queries. For details, please check our recent papers. Here is a summary poster and recent papers.
This page is maintained by
Department of Information Science
and Telecommunications, School
of Information Sciences at the
University of Pittsburgh |
SCriM: Sensor Networks for Critical Monitoring |