Journal article

FORMAL THEORY OF NOISY SENSOR NETWORK LOCALIZATION

Brian DO Anderson, Iman Shames, Guoqiang Mao, Baris Fidan

SIAM JOURNAL ON DISCRETE MATHEMATICS | SIAM PUBLICATIONS | Published : 2010

Abstract

Graph theory has been used to characterize the solvability of the sensor network localization problem. If sensors correspond to vertices and edges correspond to sensor pairs between which the distance is known, a significant result in the theory of range-based sensor network localization is that if the graph underlying the sensor network is generically globally rigid and there is a suitable set of anchors at known positions, then the network can be localized, i.e., a unique set of sensor positions can be determined that is consistent with the data. In particular, for planar problems, provided the sensor network has three or more noncollinear anchors at known points, all sensors are located a..

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Grants

Awarded by Australian Research Council


Funding Acknowledgements

Received by the editors March 29, 2009; accepted for publication (in revised form) April 24, 2010; published electronically June 18, 2010. The work of the first and third authors was supported by Australian Research Council under project DP-0877562. The work of the second and fourth authors was supported by National ICT Australia which is funded by the Australian government through the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence Program.