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Robust Event Services for Emergency Response in Sensor Networks

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Dimension Value
  • Discipline
  • Other
  • Project Working Hours
  • Not Specified
  • Research Study Hybrid Value Creation
  • Not Specified
  • Funding Institutions
  • National governmental Funding
    • Other
  • Other Funding Institutions
  • National Science Foundation
Contact Person/s: Dr. John Stankovic

Robust Event Services for Emergency Response in Sensor Networks (SENSORS)

Wireless sensor networks, composed of 1000s of inexpensive devices, have the potential to significantly improve emergency response systems for earthquakes, floods and other natural disasters, as well as for chemical and biological attacks. While each node must be very cheap and, therefore, is likely to have limited capacity, the aggregate behavior of  the nodes should collectively determine the situation, detect possible survivors, send necessary information to the nearest  rescue teams, identify a safe exit path for them, and monitor any  subsequent events of interests in the area. Since such emergencies  may last a long time and are highly dynamic; the system needs to adapt to  the changing environment, be robust, utilize  the limited resources efficiently, and meet any timing requirements.  This research is developing robust and real-time middleware services for events and message delivery. In wireless sensor networks events are not binary, but are based on sensor fusion from many noisy sensors in complicated environments. Sensor data may be missing, wrong, or out of date. Consequently, the event service must support real-time, data fusion, confidence calculations, and conserve power. Events can occur in a very local region, be global or occur simultaneously in many parts of the system. The event service must be highly decentralized in order to work on the limited capacity devices. The service must also minimize false alarms.  All of these features makes an event service for wireless sensor networks very challenging. The ultimate vision of this work is to provide a facility that allows the application to specify  the desirable data and events, and deliver them in a timely manner.  If this research is successful, emergency response can occur more quickly, and be more accurate; lives can be saved and damage reduced.


This project was described byAdmin Istrator (20. June 2011 - 11:42)
This project was last edited by Sanja Tumbas (9. July 2012 - 20:42)

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