Fusion reconstruction mechanism and contrast learning method for WSN abnormal node detection
To tackle the defects of self-supervised learning anomaly detection methods for wireless sensor network (WSN) need to address the problems of single negative sample types and lack of diversity, as well as insufficient extraction of spatiotemporal features from multimodal data of wireless sensor netw...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024167/ |
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