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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (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.

Original language	English
Title of host publication	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages	5899-5902
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2007.4353690
Publication status	Published - 2007
Event	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon Duration: 2007 Aug 23 → 2007 Aug 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

Keywords

Inverse problem
Localization
Received signal strength indicator (RSSI)
Sensing model
Source detection

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/IEMBS.2007.4353690

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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",

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pages = "5899--5902",

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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.

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

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SN - 9781424407880

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

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Y2 - 23 August 2007 through 26 August 2007

ER -

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

Abstract

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Keywords

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