Distributed localization via barycentric coordinates: Finite-time convergence

Mohammad Deghat*, Iman Shames, Brian D.O. Anderson, José M.F. Moura

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    19 Citations (Scopus)

    Abstract

    We consider distributed localization in a sensor network in ℝ2 from inter-agent distances. Sensors and anchors exchange data with their neighbors. No centralized data processing is required. We establish a differential equation for the unknown sensor positions, and show that the estimated positions of sensors converge to their actual values in finite time (assuming noise-free measurements). The key assumption is that all sensors are in the convex hull of three or more anchors. The proposed localization method uses the barycentric coordinates of each sensor with respect to some of its neighbors (which may not include those anchors), assuming the sensor falls in the convex hull of these neighbors.

    Original languageEnglish
    Title of host publicationProceedings of the 18th IFAC World Congress
    PublisherIFAC Secretariat
    Pages7824-7829
    Number of pages6
    Edition1 PART 1
    ISBN (Print)9783902661937
    DOIs
    Publication statusPublished - 2011

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    Number1 PART 1
    Volume44
    ISSN (Print)1474-6670

    Fingerprint

    Dive into the research topics of 'Distributed localization via barycentric coordinates: Finite-time convergence'. Together they form a unique fingerprint.

    Cite this