Data Fusion and Sharing of the Wireless Sensor Network under the Non-uniform Cluster Algorithm
In order to achieve efficient and stable fusion and sharing of wireless sensor network data,this paper designs a wireless sensor network data clustering and sharing system,clarifies the four layer architecture of the system,and uses non-uniform clustering methods to cluster and share wireless sensor network data.The experimental results show that under different running round conditions,compared with the method based on double hash fuzzy Bloom filter and the method based on privacy protection,the proposed method clusters the largest amount of node feature data,and has higher data sharing volume,system transmission stability,data sharing efficiency,and system processing speed during the data sharing process.Its application value is more prominent and can provide important support for data visualization.