Anchorless localization with local manifold flattening
Date
2011
Authors
Popescu, Dan C.
Hedley, Mark
Sathyan, Thuraiappah
Editors
Advisors
Journal Title
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Type:
Conference paper
Citation
PIMRC'11: 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications: pp.1284-1288
Statement of Responsibility
Dan C. Popescu, Mark Hedley and Thuraiappah Sathyan
Conference Name
IEEE International Symposium on Personal Indoor and Mobile Radio Communications (22nd : 2011 : Toronto, Canada)
Abstract
We present a new method for anchorless localization of mobile nodes in wireless networks using only measured distances between pairs of nodes. The novelty of the algorithm lies in the method to complete the Euclidean distance matrix by inferring the unknown distances such as to align all nodes on a k-hyperplane, where typically k is 2 or 3. The relative locations of the nodes are then computed using multidimensional scaling. We also present experimental results with data collected using our WASP platform to verify the improvement in localization using our algorithm over previously published techniques.
School/Discipline
School of Computer Science
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© 2011 Crown