PRESTO: Feedback-Driven Data Management in Sensor Networks
Publication Date
2009
Journal or Book Title
IEEE-ACM TRANSACTIONS ON NETWORKING
Abstract
This paper presents PRESTO, a novel two-tier sensor data management architecture comprising proxies and sensors that cooperate with one another for acquiring data and processing queries. PRESTO proxies construct time-series models of observed trends in the sensor data and transmit the parameters of the model to sensors. Sensors check sensed data with model-predicted values and transmit only deviations from the predictions back to the proxy. Such a model-driven push approach is energy-efficient, while ensuring that anomalous data trends are never missed. In addition to supporting queries on current data, PRESTO also supports queries on historical data using interpolation and local archival at sensors. PRESTO can adapt model and system parameters to data and query dynamics to further extract energy savings. We have implemented PRESTO on a sensor testbed comprising Intel Stargates and Telos Motes. Our experiments show that in a temperature monitoring application, PRESTO yields one to two orders of magnitude reduction in energy requirements over on-demand, proactive or model-driven pull approaches. PRESTO also results in an order of magnitude reduction in query latency in a 1% duty-cycled five hop sensor network over a system that forwards all queries to remote sensor nodes.
DOI
https://doi.org/10.1109/TNET.2008.2006818
Pages
1256-1269
Volume
17
Issue
4
Recommended Citation
Li, M; Ganesan, D; and Shenoy, P, "PRESTO: Feedback-Driven Data Management in Sensor Networks" (2009). IEEE-ACM TRANSACTIONS ON NETWORKING. 503.
https://doi.org/10.1109/TNET.2008.2006818