Locating Acoustic Events Based on Large-Scale Sensor Networks
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 la...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2009-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/9/12/9925/ |
| _version_ | 1798037710479294464 |
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| author | Hojung Cha Yungeun Kim Junho Ahn |
| author_facet | Hojung Cha Yungeun Kim Junho Ahn |
| author_sort | Hojung Cha |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T21:30:15Z |
| format | Article |
| id | doaj.art-5aae88e8f5da4e98a0a13103c7aad140 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:30:15Z |
| publishDate | 2009-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5aae88e8f5da4e98a0a13103c7aad1402022-12-22T04:02:01ZengMDPI AGSensors1424-82202009-12-019129925994410.3390/s91209925Locating Acoustic Events Based on Large-Scale Sensor NetworksHojung ChaYungeun KimJunho AhnResearch 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.http://www.mdpi.com/1424-8220/9/12/9925/acoustic source localizationsensor network |
| spellingShingle | Hojung Cha Yungeun Kim Junho Ahn Locating Acoustic Events Based on Large-Scale Sensor Networks Sensors acoustic source localization sensor network |
| title | Locating Acoustic Events Based on Large-Scale Sensor Networks |
| title_full | Locating Acoustic Events Based on Large-Scale Sensor Networks |
| title_fullStr | Locating Acoustic Events Based on Large-Scale Sensor Networks |
| title_full_unstemmed | Locating Acoustic Events Based on Large-Scale Sensor Networks |
| title_short | Locating Acoustic Events Based on Large-Scale Sensor Networks |
| title_sort | locating acoustic events based on large scale sensor networks |
| topic | acoustic source localization sensor network |
| url | http://www.mdpi.com/1424-8220/9/12/9925/ |
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