A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization

Location awareness is a key enabling feature and fundamental challenge in present and future wireless networks. Most existing localization methods rely on existing infrastructure and thus lack the flexibility and robustness necessary for large ad hoc networks. In this paper, we build upon SPAWN (s...

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Main Authors: Lien, Jaime, Ferner, Ulric John, Srichavengsup, Warakorn, Wymeersch, Henk, Win, Moe Z.
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Hindawi Publishing Corporation 2013
Online Access:http://hdl.handle.net/1721.1/76635
https://orcid.org/0000-0002-8573-0488
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author Lien, Jaime
Ferner, Ulric John
Srichavengsup, Warakorn
Wymeersch, Henk
Win, Moe Z.
author2 Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
author_facet Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Lien, Jaime
Ferner, Ulric John
Srichavengsup, Warakorn
Wymeersch, Henk
Win, Moe Z.
author_sort Lien, Jaime
collection MIT
description Location awareness is a key enabling feature and fundamental challenge in present and future wireless networks. Most existing localization methods rely on existing infrastructure and thus lack the flexibility and robustness necessary for large ad hoc networks. In this paper, we build upon SPAWN (sum-product algorithm over a wireless network), which determines node locations through iterative message passing, but does so at a high computational cost. We compare different message representations for SPAWN in terms of performance and complexity and investigate several types of cooperation based on censoring. Our results, based on experimental data with ultra-wideband (UWB) nodes, indicate that parametric message representation combined with simple censoring can give excellent performance at relatively low complexity.
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spelling mit-1721.1/766352022-09-28T08:45:43Z A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization Lien, Jaime Ferner, Ulric John Srichavengsup, Warakorn Wymeersch, Henk Win, Moe Z. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Massachusetts Institute of Technology. Research Laboratory of Electronics Ferner, Ulric John Win, Moe Z. Location awareness is a key enabling feature and fundamental challenge in present and future wireless networks. Most existing localization methods rely on existing infrastructure and thus lack the flexibility and robustness necessary for large ad hoc networks. In this paper, we build upon SPAWN (sum-product algorithm over a wireless network), which determines node locations through iterative message passing, but does so at a high computational cost. We compare different message representations for SPAWN in terms of performance and complexity and investigate several types of cooperation based on censoring. Our results, based on experimental data with ultra-wideband (UWB) nodes, indicate that parametric message representation combined with simple censoring can give excellent performance at relatively low complexity. 2013-01-29T21:59:41Z 2013-01-29T21:59:41Z 2012-01 2012-04 Article http://purl.org/eprint/type/JournalArticle 1687-5990 1687-6008 http://hdl.handle.net/1721.1/76635 Lien, Jaime et al. “A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization.” International Journal of Navigation and Observation 2012 (2012): 1–10. https://orcid.org/0000-0002-8573-0488 en_US http://dx.doi.org/10.1155/2012/281592 International Journal of Navigation and Observation Creative Commons Attribution http://creativecommons.org/licenses/by/2.0 application/pdf Hindawi Publishing Corporation Hindawi
spellingShingle Lien, Jaime
Ferner, Ulric John
Srichavengsup, Warakorn
Wymeersch, Henk
Win, Moe Z.
A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization
title A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization
title_full A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization
title_fullStr A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization
title_full_unstemmed A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization
title_short A Comparison of Parametric and Sample-Based Message Representation in Cooperative Localization
title_sort comparison of parametric and sample based message representation in cooperative localization
url http://hdl.handle.net/1721.1/76635
https://orcid.org/0000-0002-8573-0488
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