A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array
This article proposes an efficient lossless compression method for an underwater acoustic sensor array. The proposed method first decides whether the input signal is coming from a normal or a faulty sensor. In particular, such sensor fault detection is performed using a root-mean-square crossing rat...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-12-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717747846 |
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| _version_ | 1849411651927801856 |
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| author | Yong Guk Kim Kwang Myung Jeon YoungShin Kim Chang-Ho Choi Hong Kook Kim |
| author_facet | Yong Guk Kim Kwang Myung Jeon YoungShin Kim Chang-Ho Choi Hong Kook Kim |
| author_sort | Yong Guk Kim |
| collection | DOAJ |
| description | This article proposes an efficient lossless compression method for an underwater acoustic sensor array. The proposed method first decides whether the input signal is coming from a normal or a faulty sensor. In particular, such sensor fault detection is performed using a root-mean-square crossing rate and a zero crossing rate. If a sensor is determined to be faulty, then a pre-processing technique is applied prior to signal compression to make the signal from this sensor meaningful for further use. After that, multi-channel sensor signals are encoded by the MPEG-4 audio lossless coding encoder, where the indices of faulty sensors are also sent to the decoder, which applies a post-processing technique on the MPEG-4 audio lossless coding decoded signals for the faulty sensors. The performance of the proposed method is evaluated using three different sensor arrays deployed in real underwater environments by measuring the precision of faulty sensor detection and comparing the compression ratios between normal and faulty sensors. The evaluation shows that the fault detection of the proposed method works correctly for the experiments, and the compression ratios are decreased by 0.43% and 4.57%, respectively, in the faulty sensor signal send and non-send modes, compared to the MPEG-4 audio lossless coding reference software. |
| format | Article |
| id | doaj-art-62ba690264fd45489fa7000ff17e2aa7 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-62ba690264fd45489fa7000ff17e2aa72025-08-20T03:34:42ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-12-011310.1177/1550147717747846A lossless compression method incorporating sensor fault detection for underwater acoustic sensor arrayYong Guk Kim0Kwang Myung Jeon1YoungShin Kim2Chang-Ho Choi3Hong Kook Kim4School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of KoreaSchool of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of KoreaMaritime R&D Center, LIG Nex1, Seongnam, Republic of KoreaMaritime R&D Center, LIG Nex1, Seongnam, Republic of KoreaSchool of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of KoreaThis article proposes an efficient lossless compression method for an underwater acoustic sensor array. The proposed method first decides whether the input signal is coming from a normal or a faulty sensor. In particular, such sensor fault detection is performed using a root-mean-square crossing rate and a zero crossing rate. If a sensor is determined to be faulty, then a pre-processing technique is applied prior to signal compression to make the signal from this sensor meaningful for further use. After that, multi-channel sensor signals are encoded by the MPEG-4 audio lossless coding encoder, where the indices of faulty sensors are also sent to the decoder, which applies a post-processing technique on the MPEG-4 audio lossless coding decoded signals for the faulty sensors. The performance of the proposed method is evaluated using three different sensor arrays deployed in real underwater environments by measuring the precision of faulty sensor detection and comparing the compression ratios between normal and faulty sensors. The evaluation shows that the fault detection of the proposed method works correctly for the experiments, and the compression ratios are decreased by 0.43% and 4.57%, respectively, in the faulty sensor signal send and non-send modes, compared to the MPEG-4 audio lossless coding reference software.https://doi.org/10.1177/1550147717747846 |
| spellingShingle | Yong Guk Kim Kwang Myung Jeon YoungShin Kim Chang-Ho Choi Hong Kook Kim A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array International Journal of Distributed Sensor Networks |
| title | A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array |
| title_full | A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array |
| title_fullStr | A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array |
| title_full_unstemmed | A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array |
| title_short | A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array |
| title_sort | lossless compression method incorporating sensor fault detection for underwater acoustic sensor array |
| url | https://doi.org/10.1177/1550147717747846 |
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