Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/23582
Title: Data based reconstruction of complex geospatial networks, nodal positioning and detection of hidden nodes
Authors: Su, Ri-Qi
Keywords: Physics
Mathematical modelling
Time-series analysis
Network reconstruction
Geospatial network
Compressive sensing
Issue Date: 2016
Abstract: Given a complex geospatial network with nodes distributed in a two-dimensional region of physical space, can the locations of the nodes be determined and their connection patterns be uncovered based solely on data? We consider the realistic situation where time series/signals can be collected from a single location. A key challenge is that the signals collected are necessarily time delayed, due to the varying physical distances from the nodes to the data collection centre. To meet this challenge, we develop a compressive-sensing-based approach enabling reconstruction of the full topology of the underlying geospatial network and more importantly, accurate estimate of the time delays.
URI: https://lib.hpu.edu.vn/handle/123456789/23582
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