IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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MDS-based Localization Reflecting Depth, Temperature, and Salinity of Ocean in Underwater Acoustic Sensor Networks(UWASNs)

수중 센서 네트워크에서 수심, 수온, 염도를 고려한 환경에서 MDS를 이용한 위치인식 연구

  • 정희석 (금오공과대학교 전자공학부) ;
  • 김은찬 (한국전자통신연구원) ;
  • 양연모 (금오공과대학교 전자공학부)
  • Received : 2012.03.22
  • Accepted : 2012.05.13
  • Published : 2012.08.31
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Abstract

In these days, there are huge increases of concerning underwater acoustic sensor networks (UWASNs) to explore marine resources and to monitor climate change. To collect information from sensor nodes which are randomly deployed in underwater, Multi-Dimensional Scaling (MDS) based locating methods have been recently introduced, which consider sound speed to be constant in underwater. However, underwater sound speed tends to vary depending on underwater environment factors, such as depth, temperature, and salinity. In this paper, we propose a method considering environment factors, can influence upon sound speed in underwater, and introduce experimental setup which can follow up environmental factors.

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References

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