Fault analysis and research of wireless sensor network based on kernel partial least squares
With the development of intelligent and networked sensor technology,wireless sensor networks were widely used in human life and commercial fields,because wireless sensor network nodes usually only carry limited resources,it is prone to failures due to insufficient resources,the accurate and timely f...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017265/ |
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| _version_ | 1841539413325119488 |
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| author | Guang-hai ZHOU Zhao-long NING Zhi-kui CHEN Hua ZHONG Yue-ming HU |
| author_facet | Guang-hai ZHOU Zhao-long NING Zhi-kui CHEN Hua ZHONG Yue-ming HU |
| author_sort | Guang-hai ZHOU |
| collection | DOAJ |
| description | With the development of intelligent and networked sensor technology,wireless sensor networks were widely used in human life and commercial fields,because wireless sensor network nodes usually only carry limited resources,it is prone to failures due to insufficient resources,the accurate and timely fault diagnosis of WSN nodes can ensure the reliability of information,thus improving the maintainability of WSN and prolonging the service life of WSN.A method of using kernel partial least squares has been proposed to predict the fault reasons,the method overcomes the defects of traditional linear regression method and the nonlinear high dimensional space for data analysis.Through many experiments,the method can absorb the characteristics of canonical correlation analysis and principal component analysis method,provide a more thorough and rich content analysi,that the reason of the fault can be predicted effectively. |
| format | Article |
| id | doaj-art-3216171a3a704e68b221dfaee6813770 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-3216171a3a704e68b221dfaee68137702025-01-14T07:13:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-11-0138949859715339Fault analysis and research of wireless sensor network based on kernel partial least squaresGuang-hai ZHOUZhao-long NINGZhi-kui CHENHua ZHONGYue-ming HUWith the development of intelligent and networked sensor technology,wireless sensor networks were widely used in human life and commercial fields,because wireless sensor network nodes usually only carry limited resources,it is prone to failures due to insufficient resources,the accurate and timely fault diagnosis of WSN nodes can ensure the reliability of information,thus improving the maintainability of WSN and prolonging the service life of WSN.A method of using kernel partial least squares has been proposed to predict the fault reasons,the method overcomes the defects of traditional linear regression method and the nonlinear high dimensional space for data analysis.Through many experiments,the method can absorb the characteristics of canonical correlation analysis and principal component analysis method,provide a more thorough and rich content analysi,that the reason of the fault can be predicted effectively.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017265/wireless sensor networksfault analysiskernel partial least squares |
| spellingShingle | Guang-hai ZHOU Zhao-long NING Zhi-kui CHEN Hua ZHONG Yue-ming HU Fault analysis and research of wireless sensor network based on kernel partial least squares Tongxin xuebao wireless sensor networks fault analysis kernel partial least squares |
| title | Fault analysis and research of wireless sensor network based on kernel partial least squares |
| title_full | Fault analysis and research of wireless sensor network based on kernel partial least squares |
| title_fullStr | Fault analysis and research of wireless sensor network based on kernel partial least squares |
| title_full_unstemmed | Fault analysis and research of wireless sensor network based on kernel partial least squares |
| title_short | Fault analysis and research of wireless sensor network based on kernel partial least squares |
| title_sort | fault analysis and research of wireless sensor network based on kernel partial least squares |
| topic | wireless sensor networks fault analysis kernel partial least squares |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017265/ |
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