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

doi:10.1109/IEMBS.2007.4353690

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

^*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ページ	5899-5902
ページ数	4
DOI	https://doi.org/10.1109/IEMBS.2007.4353690
出版ステータス	Published - 2007
イベント	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon 継続期間: 2007 8月 23 → 2007 8月 26

Other

Other	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
City	Lyon
Period	07/8/23 → 07/8/26

ASJC Scopus subject areas

生体医工学

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10.1109/IEMBS.2007.4353690

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引用スタイル

Yang, Y, Lee, J, Jung, J, Song, S, Yoon, H & Yoon, Y 2007, Target source detection using an Improved Sensing Model in Wireless Sensor Networks (ISMWSNs). in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings., 4353690, pp. 5899-5902, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, Lyon, 07/8/23. https://doi.org/10.1109/IEMBS.2007.4353690

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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.",

keywords = "Inverse problem, Localization, Received signal strength indicator (RSSI), Sensing model, Source detection",

author = "Yongju Yang and Junghoon Lee and Jipmin Jung and Sangha Song and Hyounro Yoon and Youngro Yoon",

year = "2007",

doi = "10.1109/IEMBS.2007.4353690",

language = "English",

isbn = "1424407885",

pages = "5899--5902",

booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

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T1 - Target source detection using an Improved Sensing Model in Wireless Sensor Networks (ISMWSNs)

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.

KW - Inverse problem

KW - Localization

KW - Received signal strength indicator (RSSI)

KW - Sensing model

KW - Source detection

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DO - 10.1109/IEMBS.2007.4353690

M3 - Conference contribution

AN - SCOPUS:57649199664

SN - 1424407885

SN - 9781424407880

SP - 5899

EP - 5902

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07

Y2 - 23 August 2007 through 26 August 2007

ER -

Target source detection using an Improved Sensing Model in Wireless Sensor Networks (ISMWSNs)

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