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Cooperative Robust Geometric Positioning Algorithm in Wireless Networks

K. Hedhly 1 M. Laaraiedh 1 F. Abdelkefi 1 M. Siala 1 Bernard Uguen 2 N. Amiot 2
1 Mediatron Laboratory
2 IETR - Institut d'Électronique et des Technologies du numéRique
Abstract : In this paper, we propose a geometric positioning technique for cooperative localization in Wireless Networks. The proposed technique is based on building geometric constraints from radio observables. These constraints are then merged to estimate the true position. In this paper we address situations where blind nodes, due to the lack of radio observables, cooperate to estimate their positions. Compared to other techniques, Monte Carlo simulations illustrate interesting performances in terms of positioning accuracy and computation complexity and runtime. © 2017 IEEE.
Keywords : Monte Carlo methods Runtimes Wireless networks Wireless telecommunication systems Computation complexity Cooperative localization Geometric constraint Positioning accuracy Positioning algorithms Positioning techniques Mobile computing Intelligent systems Geometry
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Conference papers
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622388
Contributor : Laurent Jonchère <>
Submitted on : Tuesday, October 24, 2017 - 1:27:05 PM
Last modification on : Monday, October 5, 2020 - 9:50:25 AM

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UNIV-RENNES1 | IETR | CNRS | IETR_PL | UNIV-NANTES | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE | CENTRALESUPELEC | INSA-RENNES

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K. Hedhly, M. Laaraiedh, F. Abdelkefi, M. Siala, Bernard Uguen, et al.. Cooperative Robust Geometric Positioning Algorithm in Wireless Networks. 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017, Jun 2017, Valencia, Spain. ⟨10.1109/IWCMC.2017.7986365⟩. ⟨hal-01622388⟩

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