Real-time Monitoring of Physical Phenomena and their Dynamics with Quality Guarantees via Wireless Sensor Networks

Speaker : Daniela Tulone
Joint Research Centre for European Commission
Date: 24/04/2013
Time: 2:00 pm - 3:00 pm
Location: LINCS Meeting Room 40


Wireless sensor networks (WSN) are a powerful type of instrument with thepotential of remotely observing the physical world at high resolution and scale.However,
to be an efficacious tool WSN monitoring systems must provideguarantees on the quality of the observations and mechanisms for real-timedata analysis. These problems are made challenging by the WSN limited resourcesand the high volume of sensor data. In this talk I will address both challenges and illustrate two monitoring solutions, which are built on top of statistical models andoffer dynamic trade-offs between resource efficiency and quality of service.More precisely, I will present an energy-efficient system, called SAF, for answeringon-line queries with quality guarantees, detecting at real-time anomalies, and clustering similar nodes. The system relies on a class of simple time series models built at sensors, which are cheap to learn and dynamically adapt to variations in thedata distribution to accurately predict sensor values and improve resource utilization.SAF also provides an integrated fault detection system and a hierarchical scheme to improve scalability in case of large-scale WSN.SAF limited capabilities to face complex dynamics and data instability are overcome by the SmartEnv real-time monitoring system. It remarkably improves SAF and previouswork for providing probabilistic guarantees on the service quality even in case of sensormalfunctioning, data instability and temporal communication disruption, and for automatically analyzing sensor data (e.g., trends, temporal-spatial correlations). SmartEnv is also ableto analyze anomalies, thus distinguishing between sensor malfunctioning and unexpectedvariations in the phenomenon.I will conclude my talk with an outline of some SmartEnv applications and
future work,particularly in the context of smart cities/grids.

Biography: Daniela Tulone holds a Ph.D. in Computer Science from University of Pisajointly with MIT, a M.S. in Computer Science from NYU, and a B.S. and M.S. degree in Mathematics from University of Catania. She has worked in academia and research labs(e.g.,Bell-Labs,MIT, AT&T Labs, NYU, University of Pisa, C.N.R.), in R&D
industry,and recently at the Joint Research Center of the European Commission.Her interests include wireless sensor networks, algorithms, secure distributed systems, thedesign of dynamic trade-offs, smart grids, data analysis, and whatever involves a blendof theory and applications