Fast aggregation method of WSNs dynamic data based on micro-cluster evolutionary learning

In order to completely restore WSNs data and improve the quality of data aggregation, a fast aggregation method of WSNs dynamic data based on micro-cluster evolutionary learning is proposed. The wireless sensor network data is collected under the micro-cluster evolutionary learning, and the Kalman f...

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Veröffentlicht in:	Evolutionary intelligence 2024, Vol.17 (4), p.2467-2476
Hauptverfasser:	Li, Xiaorong, Shu, Zhinian
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Mathematics Artificial Intelligence Bioinformatics Clusters Control Convergence Data management Engineering Evolution Feature extraction Kalman filters Learning Mathematical and Computational Engineering Mechatronics Nodes Research Paper Robotics Statistical Physics and Dynamical Systems Wireless sensor networks
Online-Zugang:	Volltext
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