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Greener disaster alerts
Date:6/27/2011

rovide an outstanding representation of green networking as sparse but sufficient environmental monitoring, accompanied by real-time data analysis, and historical pattern identification permits risk identification in support of public safety and protection."

The software underpinning the new approach can monitor and check incoming sensor data against an existing database and produce charts predicting the sensors' next most likely reading. The team explains that by implementing a system that monitors and distinguishes between normal sensor variations and underlying patterns it can be used to generate real-time alarms, the moment a pattern or new event emerged. This is critical in early warnings of potentially catastrophic and fast-moving natural disasters, the team says.

The GWSN - green-WSN - can, at the moment, only predict the next reading based on past values. The team is now working to optimize the software to allow it to estimate future readings for any date and time.


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Contact: Patricia Morreale
pmorreal@kean.edu
Inderscience Publishers
Source:Eurekalert

Page: 1 2

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