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SUMMARY:METIS: Exploring mobile phone sensing offloading for efficiently s
 upporting social sensing applications - Kiran Rachuri (University of Cambr
 idge)
DTSTART:20130227T130000Z
DTEND:20130227T140000Z
UID:TALK42412@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Mobile phones play a pivotal role in supporting ubiquitous and
  unobtrusive sensing of human activities. However\, maintaining a highly a
 ccurate record of a user's behavior throughout the day imposes significant
  energy demands on the phone's battery. In this paper\, we present the des
 ign\, implementation\, and evaluation of METIS: an adaptive mobile sensing
  platform that efficiently supports social sensing applications. The platf
 orm implements a novel sensor task distribution scheme that dynamically de
 cides whether to perform sensing on the phone or in the infrastructure\, c
 onsidering the energy consumption\, accuracy\, and mobility patterns of th
 e user. By comparing the sensing distribution scheme with sensing performe
 d solely on the phone or exclusively on the fixed remote sensors\, we show
 \, through benchmarks using real traces\, that the opportunistic sensing d
 istribution achieves over 60% and 40% energy savings\, respectively. This 
 is confirmed through a real world deployment in an office environment for 
 over a month: we developed a social application over our frameworks\, that
  is able to infer the collaborations and meetings of the users. In this se
 tting the system preserves over 35% more battery life over pure phone sens
 ing.
LOCATION:LT2\, Computer Laboratory\, William Gates Builiding
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