Study on AdaBoost-based link quality prediction mechanism
The link quality was vulnerable to the complexity environment in wireless sensor network.Obtaining link quality information in advance could reduce energy consumption of nodes.After analyzing the existing link quality prediction methods,AdaBoost-based link quality prediction mechanism was put forwar...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2017-10-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017233/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539500462833664 |
|---|---|
| author | Jian SHU Man-lan LIU Wei ZHENG |
| author_facet | Jian SHU Man-lan LIU Wei ZHENG |
| author_sort | Jian SHU |
| collection | DOAJ |
| description | The link quality was vulnerable to the complexity environment in wireless sensor network.Obtaining link quality information in advance could reduce energy consumption of nodes.After analyzing the existing link quality prediction methods,AdaBoost-based link quality prediction mechanism was put forward.Link quality samples in deferent scenarios were collected.Density-based unsupervised clustering algorithm was employed to classify training samples into deferent link quality levels.The AdaBoost with SVM-based component classifiers was adopted to build link quality prediction mechanism.Experimental results show that the proposed mechanism has better prediction precision. |
| format | Article |
| id | doaj-art-4728baceb3364348952d356d45cef832 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4728baceb3364348952d356d45cef8322025-01-14T07:13:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-10-0138394559714447Study on AdaBoost-based link quality prediction mechanismJian SHUMan-lan LIUWei ZHENGThe link quality was vulnerable to the complexity environment in wireless sensor network.Obtaining link quality information in advance could reduce energy consumption of nodes.After analyzing the existing link quality prediction methods,AdaBoost-based link quality prediction mechanism was put forward.Link quality samples in deferent scenarios were collected.Density-based unsupervised clustering algorithm was employed to classify training samples into deferent link quality levels.The AdaBoost with SVM-based component classifiers was adopted to build link quality prediction mechanism.Experimental results show that the proposed mechanism has better prediction precision.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017233/wireless sensor networklink quality predictionAdaBoostclassification for link quality |
| spellingShingle | Jian SHU Man-lan LIU Wei ZHENG Study on AdaBoost-based link quality prediction mechanism Tongxin xuebao wireless sensor network link quality prediction AdaBoost classification for link quality |
| title | Study on AdaBoost-based link quality prediction mechanism |
| title_full | Study on AdaBoost-based link quality prediction mechanism |
| title_fullStr | Study on AdaBoost-based link quality prediction mechanism |
| title_full_unstemmed | Study on AdaBoost-based link quality prediction mechanism |
| title_short | Study on AdaBoost-based link quality prediction mechanism |
| title_sort | study on adaboost based link quality prediction mechanism |
| topic | wireless sensor network link quality prediction AdaBoost classification for link quality |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017233/ |
| work_keys_str_mv | AT jianshu studyonadaboostbasedlinkqualitypredictionmechanism AT manlanliu studyonadaboostbasedlinkqualitypredictionmechanism AT weizheng studyonadaboostbasedlinkqualitypredictionmechanism |