To improve the success rate of wireless sensor network data storage recovery and ensure the security of wireless sensor net-work data storage,a knowledge graph feature reconstruction method for wireless sensor network data storage recovery is proposed.First-ly,the feature reconstruction method based on knowledge graph reconstructs the data of wireless sensor networks and expands the data storage structure.Secondly,the BP neural network and LEACH algorithm are used to fuse the data after feature reconstruction to im-prove the reliability and stability of the data.Finally,based on the principles of multi-level network coding and erasure codes,a multi-level coding matrix is constructed to encode the fused data and generate multiple copies of the data for storage.When data are damaged,recovery of damaged data is achieved through data encoding and direct calculation of data blocks,ensuring the integrity and reliability of wireless sensor network data.The experimental results show that the proposed method can improve the success rate of data storage re-covery to over 90％,and the communication cost is less than 1.5×105 Mbit/s,with a storage recovery time of less than 0.7 ms,improving the recovery success rate while reducing storage communication costs and storage recovery time.
维普
万方数据