Context Sensing for Ubiquitous Computing

PhD Thesis Proposal Defence


Title: "Context Sensing for Ubiquitous Computing"

by

Mr. Wei SUN


Abstract:

Ubiquitous computing is leading the third era of computing, after the ones 
represented by mainframe computers and personal computers. For many 
ubiquitous computing applications, context awareness is critical for 
performance optimization and user experience enrichment. Thanks to various 
tiny sensors embedded in devices such as smartphones, context information 
can be obtained by directly sensing the running environment. However, it 
is difficult to sense some certain types of context. In this thesis 
proposal, we address three challenging topics of context sensing for 
ubiquitous computing, namely indoor localization, neighbor discovery, and 
sleep monitoring. For each of these topics, we outline underlying 
challenges, analyze potential opportunities, present our solution, and 
evaluate it via simulation and experiments. The results show that our 
indoor localization scheme named MoLoc improves localization accuracy 
considerably over traditional WiFi fingerprinting approaches, that our 
neighbor discovery protocol named Hello advances the state of the art in 
terms of energy efficiency, and that our sleep monitoring system named 
SleepHunter detects sleep stages with an adequate accuracy in a 
non-obtrusive way. Finally, we indicate some thoughts on future research 
on the domain of context sensing.


Date:			Friday, 6 March 2015

Time:                   2:00pm - 4:00pm

Venue:                  Room 3494
                         lifts 25/26

Committee Members:	Prof. Bo Li (Supervisor)
  			Dr. Raymond Wong (Chairperson)
  			Dr. Kai Chen
  			Dr. Lei Chen


**** ALL are Welcome ****