Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models

L Duc Le Viet Duc, Young-Koo Lee, Sungyoung Lee

    Research output: Contribution to conferencePaper

    1 Citation (Scopus)

    Abstract

    Wireless Sensor Network (WSN) applications nowadays are an emerging avenue in which sensor localization is an essential and crucial issue. Many algorithms have been proposed to estimate the coordinate of sensors in WSNs, however, the attained accuracy in real-world applications is still far from the theoretical lower bound, Crame-Rao Lower Bound (CRLB), due to the effects of fading channels. In this paper, we propose a very simple and light weight statistical model for rang-based localization schemes, especially for the most typical localization algorithms based on received signal strength (RSS) and time-of-arrival (TOA). Our proposed method infers only the order or the nomination of given distances from measurement data to avoid significant bias caused by fading channels or shadowing. In such way, it radically reduces the effects of the degradation and performs better than existing algorithms do. With simulation of fading channels and irregular noises for both the RSS-based measurement and the TOA-based measurement, we analyze and testify both the benefits and the drawbacks of the proposed models and the localization scheme.
    Original languageUndefined
    Pages419-431
    Number of pages13
    DOIs
    Publication statusPublished - 29 Jun 2009
    EventInternational Conference on Computational Science and its Applications, ICCSA 2009 - Seoul, Korea, Republic of
    Duration: 29 Jun 20092 Jul 2009

    Conference

    ConferenceInternational Conference on Computational Science and its Applications, ICCSA 2009
    Abbreviated titleICCSA
    CountryKorea, Republic of
    CitySeoul
    Period29/06/092/07/09

    Keywords

    • Nonmetric
    • EWI-22045
    • Shadowing
    • Fading Channel
    • Localization
    • IR-81220

    Cite this

    Le Viet Duc, L. D., Lee, Y-K., & Lee, S. (2009). Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models. 419-431. Paper presented at International Conference on Computational Science and its Applications, ICCSA 2009, Seoul, Korea, Republic of. https://doi.org/10.1007/978-3-642-02457-3_36
    Le Viet Duc, L Duc ; Lee, Young-Koo ; Lee, Sungyoung. / Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models. Paper presented at International Conference on Computational Science and its Applications, ICCSA 2009, Seoul, Korea, Republic of.13 p.
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    title = "Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models",
    abstract = "Wireless Sensor Network (WSN) applications nowadays are an emerging avenue in which sensor localization is an essential and crucial issue. Many algorithms have been proposed to estimate the coordinate of sensors in WSNs, however, the attained accuracy in real-world applications is still far from the theoretical lower bound, Crame-Rao Lower Bound (CRLB), due to the effects of fading channels. In this paper, we propose a very simple and light weight statistical model for rang-based localization schemes, especially for the most typical localization algorithms based on received signal strength (RSS) and time-of-arrival (TOA). Our proposed method infers only the order or the nomination of given distances from measurement data to avoid significant bias caused by fading channels or shadowing. In such way, it radically reduces the effects of the degradation and performs better than existing algorithms do. With simulation of fading channels and irregular noises for both the RSS-based measurement and the TOA-based measurement, we analyze and testify both the benefits and the drawbacks of the proposed models and the localization scheme.",
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    doi = "10.1007/978-3-642-02457-3_36",
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    Le Viet Duc, LD, Lee, Y-K & Lee, S 2009, 'Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models' Paper presented at International Conference on Computational Science and its Applications, ICCSA 2009, Seoul, Korea, Republic of, 29/06/09 - 2/07/09, pp. 419-431. https://doi.org/10.1007/978-3-642-02457-3_36

    Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models. / Le Viet Duc, L Duc; Lee, Young-Koo; Lee, Sungyoung.

    2009. 419-431 Paper presented at International Conference on Computational Science and its Applications, ICCSA 2009, Seoul, Korea, Republic of.

    Research output: Contribution to conferencePaper

    TY - CONF

    T1 - Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models

    AU - Le Viet Duc, L Duc

    AU - Lee, Young-Koo

    AU - Lee, Sungyoung

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    Y1 - 2009/6/29

    N2 - Wireless Sensor Network (WSN) applications nowadays are an emerging avenue in which sensor localization is an essential and crucial issue. Many algorithms have been proposed to estimate the coordinate of sensors in WSNs, however, the attained accuracy in real-world applications is still far from the theoretical lower bound, Crame-Rao Lower Bound (CRLB), due to the effects of fading channels. In this paper, we propose a very simple and light weight statistical model for rang-based localization schemes, especially for the most typical localization algorithms based on received signal strength (RSS) and time-of-arrival (TOA). Our proposed method infers only the order or the nomination of given distances from measurement data to avoid significant bias caused by fading channels or shadowing. In such way, it radically reduces the effects of the degradation and performs better than existing algorithms do. With simulation of fading channels and irregular noises for both the RSS-based measurement and the TOA-based measurement, we analyze and testify both the benefits and the drawbacks of the proposed models and the localization scheme.

    AB - Wireless Sensor Network (WSN) applications nowadays are an emerging avenue in which sensor localization is an essential and crucial issue. Many algorithms have been proposed to estimate the coordinate of sensors in WSNs, however, the attained accuracy in real-world applications is still far from the theoretical lower bound, Crame-Rao Lower Bound (CRLB), due to the effects of fading channels. In this paper, we propose a very simple and light weight statistical model for rang-based localization schemes, especially for the most typical localization algorithms based on received signal strength (RSS) and time-of-arrival (TOA). Our proposed method infers only the order or the nomination of given distances from measurement data to avoid significant bias caused by fading channels or shadowing. In such way, it radically reduces the effects of the degradation and performs better than existing algorithms do. With simulation of fading channels and irregular noises for both the RSS-based measurement and the TOA-based measurement, we analyze and testify both the benefits and the drawbacks of the proposed models and the localization scheme.

    KW - Nonmetric

    KW - EWI-22045

    KW - Shadowing

    KW - Fading Channel

    KW - Localization

    KW - IR-81220

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    Le Viet Duc LD, Lee Y-K, Lee S. Localization in Sensor Networks with Fading Channels based on Nonmetric Distrance Models. 2009. Paper presented at International Conference on Computational Science and its Applications, ICCSA 2009, Seoul, Korea, Republic of. https://doi.org/10.1007/978-3-642-02457-3_36