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Interval-based localization for mobile sensors in low-anchors density networks

Abstract : In this article, we propose an original approach for self-localization in mobile sensor networks. The proposed approach is developed for low-anchors density networks. Based on intervals theory, the presented method is an online technique yielding a bounded-cumulative error. The estimation of the positions of mobile sensors is performed using multi-hop observation model added to an a priori mobility model. One of the contributions of this paper is that it uses the measurements of all types of sensors, including those that do not have GPS, denoted non-anchor nodes. Compared to the existing localization techniques, this method leads to a higher accuracy with a low computational cost.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02563868
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, May 5, 2020 - 4:17:58 PM
Last modification on : Tuesday, June 16, 2020 - 4:04:02 PM

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Farah Mourad-Chehade, Hichem Snoussi, Cédric Richard. Interval-based localization for mobile sensors in low-anchors density networks. 2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011), Jul 2011, Istanbul, Turkey. pp.1843-1848, ⟨10.1109/IWCMC.2011.5982815⟩. ⟨hal-02563868⟩

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