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SUMMARY:(Research) Uncover the hidden spatial diversity potential in 2.4 G
 Hz band for indoor Wireless Sensor Networks / (Research) Device Analyzer -
  Personal Analytics on a Global Scale - Ruoshui Liu and Daniel Wagner
DTSTART:20110531T130000Z
DTEND:20110531T140000Z
UID:TALK30434@talks.cam.ac.uk
CONTACT:Andrew Rice
DESCRIPTION:Uncover the hidden spatial diversity potential in 2.4 GHz band
  for indoor Wireless Sensor Networks\, Ruoshui Liu\n\nMore and more wirele
 ss technologies\, e.g.\, Wi-Fi\, Bluetooth\, and Wireless Sensor Network (
 WSN)\, emerge operating in the unlicensed 2.4 GHz ISM band\, the shared wi
 reless channel becomes overcrowded. More severe signal degradation in the 
 wireless channel is attributed to the multipath phenomena exhibiting in th
 e environment where WSNs are deployed. In this research talk\, I will brie
 fly talk about the investigation of the potential benefit which space dive
 rsity could bring to WSNs to combat the degradation introduced by multipat
 h in the indoor environment.     \n\n\nDevice Analyzer - Personal Analytic
 s on a Global Scale\, Daniel Wagner\n\nDevice Analyzer is a platform to au
 tomatically collect fine-grained usage statistics from Android devices. Af
 ter 12 months of building\, the application was released on the Android Ma
 rket earlier this month.\nRight now more than 460 people from 47 countries
  are contributing data to what we hope will soon be the most exhaustive da
 taset of mobile device use.\n\nBuilding a reliable service for a fragmente
 d environment presented some interesting challenges. I will present some o
 f these challenges and how I overcame them\, give examples of the data we 
 are collecting and present perspectives for the future.
LOCATION:SS03\, William Gates Building
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