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SUMMARY:Better Strategies for Data Collection in Sensor Networks - Michael
  Segal (Ben-Gurion University of The Negev)
DTSTART:20140717T140000Z
DTEND:20140717T150000Z
UID:TALK50902@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:We consider the problem of efficient data gathering in sensor 
 networks for arbitrary sensor node deployments. The efficiency of the solu
 tion is measured by a number of criteria: total energy consumption\, total
  transport capacity\, latency and quality of the transmissions. We present
  a number of different constructions with various tradeoffs between aforem
 entioned parameters. We provide theoretical performance analysis for our a
 pproaches\, present their distributed implementation and discuss the diffe
 rent aspects of using each. We show that in many cases our output-sensitiv
 e approximation solution performs better than the currently known best res
 ults for sensor networks. The talk is based on joint research with Jon Cro
 wcroft and Liron Levin.\n\nBio:Michael Segal finished B.Sc.\, M.Sc. and Ph
 .D. degrees in Computer Science from Ben-Gurion University of the Negev in
  1994\, 1997\, and 1999\, respectively. During a period of 1999–2000 he 
 held a MITACS National Centre of Excellence Postdoctoral Fellow position i
 n University of British Columbia\, Canada. Michael joined the Department o
 f Communication Systems Engineering\, Ben-Gurion University\, Israel in 20
 00 where he served as department’s Chairman between 2005–2010 and curr
 ently holds a position of Full Professor. He published more than 130 journ
 al and conference papers on topics including algorithms (sequential and di
 stributed)\, data structures with applications to optimization problems\, 
 mobile wireless networks\, scheduling and efficient networking.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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