Open AccessAn Algorithm of Wireless Sensor Monitoring System
Author(s) -
Li Hongri
Publication year - 2018
Publication title -
international journal of online engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 18
eISSN - 1868-1646
pISSN - 1861-2121
DOI - 10.3991/ijoe.v14i01.8061
Subject(s) - wireless sensor network , sensor fusion , weighting , fuse (electrical) , computer science , real time computing , information fusion , function (biology) , wireless , artificial neural network , brooks–iyengar algorithm , algorithm , wireless network , data mining , engineering , key distribution in wireless sensor networks , artificial intelligence , computer network , telecommunications , medicine , evolutionary biology , biology , electrical engineering , radiology
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.