A Survey of Scalable and Accurate Localization in Wireless Sensor Networks

PhD Qualifying Examination


Title: "A Survey of Scalable and Accurate Localization in Wireless Sensor
Networks"

Mr. Wenchen Zheng


Abstract:

With the recent development of location-based services, such as
specialized web search, navigation guiding and social networks, the
location estimation task is becoming increasingly important, and thus
draws more and more attention from the research and industry communities.
A variety of learning-based approaches have been proposed for accurate
localization in different pervasive computing environments. However, some
challenges still exist. The first challenge comes from the signal
uncertainty in the pervasive computing environments. The second challenge
comes from the signal variation over time and devices, which may cause the
traditional machine learning techniques to corrupt since training data and
test data may have different distributions. The last challenge, but not
the least, is how to scale up the traditional learning-based localization
approaches with as few calibration effort as possible. In this survey, we
review the related work of scalable and accurate localization approaches
by considering the above challenges, and discuss some possible research
issues based on comprehensive analysis of the existing localization
approaches.


Date:     		Friday, 18 April 2008

Time:                   3:00p.m.-5:00p.m.

Venue:                  Room 3402
			lifts 17-18

Committee Members:      Prof. Qiang Yang (Supervisor)
			Dr. Lei Chen (Chairperson)
			Dr. Dit-Yan Yeung
			Dr. Nevin Zhang


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