Target source detection using an improved sensing model in wireless sensor networks (ISMWSNs).

Yongju Yang, Junghoon Lee, Jipmin Jung, Sangha Song, Hyounro Yoon, Youngro Yoon

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    we applied the inverse problem approach to locate the known source in a uniformly distributed sensor network from a simultaneous RSSI measurement between sensors and sources. We also proposed a new sensing model to calculate RSSI between sensors and a specific source and carefully considered the orientation vector of the source. We detected the original source by means of a linear inverse problem using the calculated RSSI at the target source from the improved sensing model. Finally, we simulated the proposed sensing model to verify its ability to detect the original source. Changes in the initial source and calculated results remained quite in place. Moreover, the norm of the detected source was significantly larger than the norm of any other sources.

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    Wireless sensor networks
    Inverse problems
    Sensors
    Sensor networks

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Biomedical Engineering
    • Health Informatics

    Cite this

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    title = "Target source detection using an improved sensing model in wireless sensor networks (ISMWSNs).",
    abstract = "we applied the inverse problem approach to locate the known source in a uniformly distributed sensor network from a simultaneous RSSI measurement between sensors and sources. We also proposed a new sensing model to calculate RSSI between sensors and a specific source and carefully considered the orientation vector of the source. We detected the original source by means of a linear inverse problem using the calculated RSSI at the target source from the improved sensing model. Finally, we simulated the proposed sensing model to verify its ability to detect the original source. Changes in the initial source and calculated results remained quite in place. Moreover, the norm of the detected source was significantly larger than the norm of any other sources.",
    author = "Yongju Yang and Junghoon Lee and Jipmin Jung and Sangha Song and Hyounro Yoon and Youngro Yoon",
    year = "2007",
    language = "English",
    pages = "5900--5903",
    journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",
    issn = "1557-170X",
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    AU - Yang, Yongju

    AU - Lee, Junghoon

    AU - Jung, Jipmin

    AU - Song, Sangha

    AU - Yoon, Hyounro

    AU - Yoon, Youngro

    PY - 2007

    Y1 - 2007

    N2 - we applied the inverse problem approach to locate the known source in a uniformly distributed sensor network from a simultaneous RSSI measurement between sensors and sources. We also proposed a new sensing model to calculate RSSI between sensors and a specific source and carefully considered the orientation vector of the source. We detected the original source by means of a linear inverse problem using the calculated RSSI at the target source from the improved sensing model. Finally, we simulated the proposed sensing model to verify its ability to detect the original source. Changes in the initial source and calculated results remained quite in place. Moreover, the norm of the detected source was significantly larger than the norm of any other sources.

    AB - we applied the inverse problem approach to locate the known source in a uniformly distributed sensor network from a simultaneous RSSI measurement between sensors and sources. We also proposed a new sensing model to calculate RSSI between sensors and a specific source and carefully considered the orientation vector of the source. We detected the original source by means of a linear inverse problem using the calculated RSSI at the target source from the improved sensing model. Finally, we simulated the proposed sensing model to verify its ability to detect the original source. Changes in the initial source and calculated results remained quite in place. Moreover, the norm of the detected source was significantly larger than the norm of any other sources.

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