Locating acoustic events based on large-scale sensor networks

Yungeun Kim, Junho Ahn, Hojung Cha

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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
JournalSensors
Volume9
Issue number12
DOIs
Publication statusPublished - 2009 Dec 1

Fingerprint

Acoustics
Sensor networks
acoustics
sensors
Sensor nodes
Radio
Acoustic waves
Hardware
hardware
Costs and Cost Analysis
communication
Communication
Research
propagation
Costs
Experiments

All Science Journal Classification (ASJC) codes

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

Cite this

Kim, Yungeun ; Ahn, Junho ; Cha, Hojung. / Locating acoustic events based on large-scale sensor networks. In: Sensors. 2009 ; Vol. 9, No. 12. pp. 9925-9944.
@article{f68aedc1a5e746de9ee343615539b1d6,
title = "Locating acoustic events based on large-scale sensor networks",
abstract = "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.",
author = "Yungeun Kim and Junho Ahn and Hojung Cha",
year = "2009",
month = "12",
day = "1",
doi = "10.3390/s91209925",
language = "English",
volume = "9",
pages = "9925--9944",
journal = "Sensors",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",

}

Locating acoustic events based on large-scale sensor networks. / Kim, Yungeun; Ahn, Junho; Cha, Hojung.

In: Sensors, Vol. 9, No. 12, 01.12.2009, p. 9925-9944.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Locating acoustic events based on large-scale sensor networks

AU - Kim, Yungeun

AU - Ahn, Junho

AU - Cha, Hojung

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77950206222&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77950206222&partnerID=8YFLogxK

U2 - 10.3390/s91209925

DO - 10.3390/s91209925

M3 - Article

C2 - 22303155

AN - SCOPUS:77950206222

VL - 9

SP - 9925

EP - 9944

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 12

ER -