Locating acoustic events based on large-scale sensor networks

Yungeun Kim, Junho Ahn, Hojung Cha

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Research on acoustic source localization is actively being conducted to enhance accuracy and coverage. However, the performance is inherently limited due to the use of expensive sensor nodes and inefficient communication methods. This paper proposes an acoustic source localization algorithm for a large area that uses low-cost sensor nodes. The proposed mechanism efficiently handles multiple acoustic sources by removing false-positive errors that arise from the different propagation ranges of radio and sound. Extensive outdoor experiments with real hardware validated that the proposed mechanism could localize four acoustic sources within a 3 m error in a 60 m by 60 m area, where conventional systems could hardly achieve similar performance.

Original languageEnglish
Pages (from-to)9925-9944
Number of pages20
Issue number12
Publication statusPublished - 2009 Dec

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering


Dive into the research topics of 'Locating acoustic events based on large-scale sensor networks'. Together they form a unique fingerprint.

Cite this