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Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks

For monitoring the aquaculture parameters in pond with wireless sensor networks (WSN), high accuracy of fault detection and high precision of error correction are essential. However, collecting accurate data from WSN to server or cloud is a bottleneck because of the data faults of WSN, especially in...

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Detalles Bibliográficos
Autores principales: Shi, Pei, Li, Guanghui, Yuan, Yongming, Kuang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263631/
https://www.ncbi.nlm.nih.gov/pubmed/30423979
http://dx.doi.org/10.3390/s18113851

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