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Robust distributed network localization with noisy range measurements

Moore, David, Leonard, John, Rus, Daniela, Teller, Seth·2004·Proceedings of the 2nd international conference on Embedded networked sensor systems

Abstract

This paper describes a distributed, linear-time algorithm for localizing sensor network nodes in the presence of range measurement noise and demonstrates the algorithm on a physical network. We introduce the probabilistic notion of robust quadrilaterals as a way to avoid flip ambiguities that otherwise corrupt localization computations. We formulate the localization problem as a two-dimensional graph realization problem: given a planar graph with approximately known edge lengths, recover the Euclidean position of each vertex up to a global rotation and translation. This formulation is applicable to the localization of sensor networks in which each node can estimate the distance to each of its neighbors, but no absolute position reference such as GPS or fixed anchor nodes is available.

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Metadata

Authors
Moore, D., Leonard, J., Rus, D., & Teller, S.
Venue
Proceedings of the 2nd international conference on Embedded networked sensor systems
Publisher
ACM
Published
2004-11-03
Pages
50-61
OpenAlex
W2161249924
Cited by
998
References
0
FWCI
88.62
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Robust distributed network localization with noisy range measurements. https://app.cochat.ai/papers/10.1145/1031495.1031502
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Moore, D., Leonard, J., Rus, D., & Teller, S. (2004). Robust distributed network localization with noisy range measurements. Proceedings of the 2nd international conference on Embedded networked sensor systems. https://doi.org/10.1145/1031495.1031502

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.