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SUMMARY:Efficient Node Discovery in Mobile Wireless Sensor Networks - Vlad
 imir Dyo (University of Cambridge)
DTSTART:20080529T150000Z
DTEND:20080529T160000Z
UID:TALK11700@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Energy is one of the most crucial aspects in real deployments 
 of mobile sensor networks. A large portion of the energy of sensor applica
 tions is spent in node discovery as nodes need to periodically advertise t
 heir presence and be awake to discover other nodes for data exchange. The 
 optimization of energy consumption\, which is generally a hard task in fix
 ed sensor networks\, is even harder in mobile sensor networks\, where the 
 neighbouring nodes change over time. In this paper we propose an algorithm
  for energy efficient node discovery in sparsely connected mobile wireless
  sensor networks. The work takes advantage of the fact that nodes have tem
 poral patterns of encounters and exploits these patterns to drive the duty
  cycling. We have used reinforcement learning techniques to detect and dyn
 amically change the times at which a node should be awake as it is likely 
 to encounter other nodes. We have evaluated our work using real human mobi
 lity traces\, and the paper presents the performance of the protocol  in t
 his context.\n\nBio: Vladimir Dyo is a PhD candidate at University College
  London working under supervision of Dr. Cecilia Mascolo. He obtained his 
 MSc in Data Communications\, Networks and Distributed Systems from UCL in 
 2003 and a BSc in Computer Engineering from Kazakh National Technical Univ
 ersity in 1998.  His interests\ninclude: mobile wireless\nsensor networks\
 , their applications for wildlife tracking\,  duty cycling and MAC protoco
 ls for sensor networks.\n\n
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Builiding
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