Earticle

초록

영어

Against the problem that quantitative localization is concentrated on single-source localization, this paper studies the quantitative multi-source localization methods based on wireless sensor network. Firstly, the log-quantization strategy which reflects the characteristics of acoustic source is proposed. The sensor node transmits the quantized information to base station according to the measurements and log-quantization strategy. Secondly the based station estimates the location of the sources according to the proposed method termed as multiple source localization based on possibilistic C means clustering algorithm. Finally the efficient of the proposed method is verified by the simulation under different parameters. The simulation results show that the proposed method could accurately estimate the location of source. And the proposed method is robust to the packet loss rate.

목차

Abstract
 1. Introduction
 2. System Mobel
 3. Multi-Source Localization Algorithm Based on Modified Possibilistic C-Means
  3.1. Possibilistic C-Means Clustering Algorithm
  3.2. Multi-Source Localization Algorithm
 4. Simulation Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Yunting Liu [ School of Information Science and Engineering, Northeastern University, Shenyang 110819, China ]
• Hui Guo [ School of Information Science and Engineering, Northeastern University, Shenyang 110819, China ]
• Yuanwei Jing [ School of Information Science and Engineering, Northeastern University, Shenyang 110819, China ]
• Siying Zhang [ School mechanical engineering, Shenyang University of Technology, Shenyang 110870, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605