An algorithm of wireless sensor monitoring system

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Abstract

In order to realize more intelligent storage monitoring system, the information fusion model of wireless sensor network for storage environment monitoring is studied on the basis of analyzing information fusion technology. By analyzing the structure of storage monitoring system based on wireless sensor network, a two-layer information fusion method is established. The information fusion of homogeneous sensor based on adaptive weighting and the fusion method of heterogeneous sensor based on radial basis function neural network are designed and verified. The experimental results show that the design method can fuse the storage environment information and realize the accurate identification of the environmental state. Therefore, the algorithm can effectively improve the speed of network training, and the classification effect is good. To a certain extent, it can help enterprises to establish a safe and efficient storage system, to enhance the efficiency of enterprise warehousing operations.

Figures

  • Fig. 1. Information fusion process of wireless sensor networks
  • Fig. 2. Information fusion function model
  • Fig. 3. Storage Monitoring System Architecture Based on Wireless Sensor Network
  • Fig. 4. Storage Monitoring System Architecture Based on Wireless Sensor Network
  • Fig. 5. Adaptive Weighted Algorithm Model
  • Table 2. Importance of independent variables 1
  • Table 4. Importance of independent variables 2
  • Table 5. RBF neural network classification results (2)

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CITATION STYLE

APA

Li, H. (2018). An algorithm of wireless sensor monitoring system. International Journal of Online Engineering, 14(1), 52–65. https://doi.org/10.3991/ijoe.v14i01.8061

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