Anomalous Traffic Filtering Algorithm for Power Wireless Sensor Networks Based on Feature Clustering Article Swipe
Qidi Jiao
,
Dingding Li
,
Shuai Cheng Li
,
Han Liu
,
Y. X. Song
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2979/1/012002
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2979/1/012002
Conventional power wireless sensor network anomalous traffic filtering algorithm measurement structure is generally set as a unidirectional structure, the filtering efficiency is low, resulting in an increase in the absolute error of the filtering measurement, which puts forward the design and analysis of the feature clustering-based power wireless sensor network anomalous traffic filtering algorithm. According to the current measurement requirements, first extract the abnormal traffic features, adopt the multi-order approach to improve the filtering efficiency, design the multi-order power wireless sensing network abnormal traffic filtering measurement structure, based on this, construct the feature clustering network abnormal traffic filtering algorithm model, and use the adaptive checking processing to realize the filtering measurement. The test results show that the absolute error of the final filtering algorithm is well controlled below 0.7, which indicates that the designed abnormal traffic filtering algorithm of electric power wireless sensor network combined with feature clustering is more flexible, versatile, and more targeted, and has practical application value.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2979/1/012002
- OA Status
- diamond
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411541379
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- OpenAlex ID
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https://openalex.org/W4411541379Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/2979/1/012002Digital Object Identifier
- Title
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Anomalous Traffic Filtering Algorithm for Power Wireless Sensor Networks Based on Feature ClusteringWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-01Full publication date if available
- Authors
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Qidi Jiao, Dingding Li, Shuai Cheng Li, Han Liu, Y. X. SongList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/2979/1/012002Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1742-6596/2979/1/012002Direct OA link when available
- Concepts
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Cluster analysis, Computer science, Wireless sensor network, Algorithm, Wireless, Feature (linguistics), Real-time computing, Power (physics), Data mining, Artificial intelligence, Computer network, Telecommunications, Philosophy, Physics, Quantum mechanics, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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8Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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