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Locating acoustic events based on large-scale sensor networks.

Yungeun Kim1, Junho Ahn, Hojung Cha

  • 1Department of Computer Science, Yonsei University, Seodaemungu, Shinchondong, Seoul, Korea; E-Mails: ygkim@mobed.yonsei.ac.kr (Y.K.); junho@mobed.yonsei.ac.kr (J.A.).

Sensors (Basel, Switzerland)
|February 4, 2012
PubMed
Summary

This study introduces a new acoustic source localization algorithm using low-cost sensors for large areas. It accurately pinpoints multiple sound sources, overcoming limitations of expensive systems.

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Area of Science:

  • Acoustics
  • Sensor Networks
  • Signal Processing

Background:

  • Acoustic source localization research aims for better accuracy and coverage.
  • Current systems face limitations due to expensive sensors and inefficient communication.

Purpose of the Study:

  • To propose a novel acoustic source localization algorithm for large areas.
  • To utilize low-cost sensor nodes for improved efficiency and affordability.

Main Methods:

  • Developed an algorithm to handle multiple acoustic sources effectively.
  • Implemented a method to mitigate false-positive errors caused by differing radio and sound propagation ranges.

Main Results:

  • Successfully localized four acoustic sources within a 3-meter error margin in a 60x60 meter outdoor area.
Keywords:
acoustic source localizationsensor network

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  • Demonstrated superior performance compared to conventional systems in large-scale environments.

    • Conclusions:

    • The proposed algorithm offers a cost-effective and accurate solution for large-area acoustic source localization.
    • This approach overcomes key limitations of existing technologies, enabling wider application.