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SUMMARY:Selective Reprogramming in Wireless Sensor Networks - Bence Paszto
 r (University of Cambridge)
DTSTART:20100520T150000Z
DTEND:20100520T160000Z
UID:TALK24099@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:This talk will focus on application domains where the behavior
  of animals is monitored using wireless sensor network (WSN) devices. In o
 rder to maintain the system on the long term\, the code on these devices n
 eeds to be updated as scientists acquire in-field data and refine their hy
 potheses. Wireless reprogramming is therefore fundamental to avoid the\n(e
 xpensive) re-collection of the devices. Moreover\, the code carried by the
  monitored individuals often depends on their characteristics\, e.g.\, the
  behavior or preferred habitat.  The selective reprogramming approach prop
 osed simplifies and automates the process of delivering a code update to a
  target subset of nodes. Target selection is expressed through constraints
  injected in the WSN\, triggering automatic dissemination of code updates 
 whenever verified. Update dissemination relies on a novel protocol exploit
 ing the social behavior of the monitored individuals.\nIn this talk\, I wi
 ll introduce our selective reprogramming protocol\, including an evaluatio
 n of the social clustering algorithm on the dataset gathered by our WildSe
 nsing project.\n\nBio: I received my Bsc from the University College Londo
 n\, and soon after moved to Cambridge to start my Phd with Dr. Cecilia Mas
 colo. My main interests are mobile wireless sensor networks and the operat
 ing systems running on these devices.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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