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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...
Autores principales: | Shi, Pei, Li, Guanghui, Yuan, Yongming, Kuang, Liang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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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