Distributed Localization in Wireless Sensor Networks based on Force-Vectors

L Duc Le Viet Duc (Editor), Viet-Hung Dang, Sungyoung Lee, Sang-Hoon Lee

    Research output: Contribution to conferencePaperAcademicpeer-review

    10 Citations (Scopus)
    23 Downloads (Pure)

    Abstract

    Node localization is a fundamental requirement for deploying real wireless sensor network applications such as hospital logistics, environmental monitoring, and target surveillance. However, recently proposed algorithms still could not attain enough accuracy and are too costly. To improve the previous work, we describe a low cost, high accuracy, scalable, distributed localization algorithm which based on distance vectors. We assume that only few sensor nodes have known-locations (named as beacons) and the remaining nodes have unknown-locations (named as normal nodes). Each node updates its location from currently estimated distance vectors and given pairwise distances which are derived from received signal strength (RSS) measurements or time of arrival (TOA), and then passes this new location to neighbors until achieving enough convergence. Analysis, simulation and experimental results show that the proposed algorithm outperforms the other range-based algorithms. Specially the proposed algorithm on real-world experiment measurements, which contain unpredictable noise and shadowing, achieves better accuracy than the previous work do. The proposed method can perform well even with only few reference devices or anchors.
    Original languageUndefined
    Pages31-36
    Number of pages6
    DOIs
    Publication statusPublished - 15 Dec 2008
    Event4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008 - Crown Plaza Hotel, Darling Harbour, Sydney, Australia
    Duration: 15 Dec 200818 Dec 2008
    Conference number: 4

    Conference

    Conference4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
    Abbreviated titleISSNIP
    CountryAustralia
    CitySydney
    Period15/12/0818/12/08

    Keywords

    • EWI-21817
    • Localization
    • IR-80470

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