Deep belief network-based link quality prediction for wireless sensor network
After analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get link quality levels.Deep belief network was app...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2017-11-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017257/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539417009815552 |
|---|---|
| author | Lin-lan LIU Jiang-bo XU Yue LI Zhi-yong YANG |
| author_facet | Lin-lan LIU Jiang-bo XU Yue LI Zhi-yong YANG |
| author_sort | Lin-lan LIU |
| collection | DOAJ |
| description | After analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get link quality levels.Deep belief network was applied in extracting the features of link quality,and softmax was taken to predict the next time link quality.In different scenarios,compared with the model of link quality prediction based on logistic regression,BP neural network and Bayesian network methods,the experimental results show that the proposed prediction model achieves better precision. |
| format | Article |
| id | doaj-art-4736564e19024f40bbcd1a7a288f6281 |
| 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-4736564e19024f40bbcd1a7a288f62812025-01-14T07:13:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-11-0138172559715094Deep belief network-based link quality prediction for wireless sensor networkLin-lan LIUJiang-bo XUYue LIZhi-yong YANGAfter analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get link quality levels.Deep belief network was applied in extracting the features of link quality,and softmax was taken to predict the next time link quality.In different scenarios,compared with the model of link quality prediction based on logistic regression,BP neural network and Bayesian network methods,the experimental results show that the proposed prediction model achieves better precision.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017257/wireless sensor networklink quality predictiondeep belief networklink quality level |
| spellingShingle | Lin-lan LIU Jiang-bo XU Yue LI Zhi-yong YANG Deep belief network-based link quality prediction for wireless sensor network Tongxin xuebao wireless sensor network link quality prediction deep belief network link quality level |
| title | Deep belief network-based link quality prediction for wireless sensor network |
| title_full | Deep belief network-based link quality prediction for wireless sensor network |
| title_fullStr | Deep belief network-based link quality prediction for wireless sensor network |
| title_full_unstemmed | Deep belief network-based link quality prediction for wireless sensor network |
| title_short | Deep belief network-based link quality prediction for wireless sensor network |
| title_sort | deep belief network based link quality prediction for wireless sensor network |
| topic | wireless sensor network link quality prediction deep belief network link quality level |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017257/ |
| work_keys_str_mv | AT linlanliu deepbeliefnetworkbasedlinkqualitypredictionforwirelesssensornetwork AT jiangboxu deepbeliefnetworkbasedlinkqualitypredictionforwirelesssensornetwork AT yueli deepbeliefnetworkbasedlinkqualitypredictionforwirelesssensornetwork AT zhiyongyang deepbeliefnetworkbasedlinkqualitypredictionforwirelesssensornetwork |