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INFOCOM
2009
IEEE

Sensor Network Localization Using Sensor Perturbation

12 years 2 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if it is uniquely determined by the input distances. In this paper, we show the following: if the sensors are allowed to wiggle, giving us perturbed distance data, we can apply a novel algorithm to realize arbitrary generically globally rigid (GGR) graphs (or maximal vertex subsets in non-GGR graphs whose relative positions are fixed). And this algorithm works in any dimension. In the language of structural rigidity theory, our approach corresponds to calculating the approximate kernel of a generic stress matrix for the given graph and distance data. To make our algorithm suitable for real-world application, we present techniques for improving the robustness of the algorithm under noisy measurements, and a strategy for reducing the required number of measurements.
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where INFOCOM
Authors Yuanchen Zhu, Steven J. Gortler, Dylan Thurston
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