Research On The Privacy Protection Algorithm In Data Aggregation Of Wireless Sensor Network

With the rapid development and wide application of related technologies such as wireless communication technology,sensor technology and low-power embedded technology,wireless sensor networks are widely used in intelligent transportation and military investigation,natural disaster relief and health monitoring,because of their low cost,practicability and flexibility.However,the drawbacks of limited energy in sensor nodes have led to the development of wireless sensor networks.Data aggregation technology can effectively remove redundant data and reduce the transmission of data packets,thereby improving the overall working efficiency of wireless sensor networks and prolonging the service life of the network.It is an effective energy-saving method for wireless sensor networks.Since the data collected by wireless sensor networks involves a large amount of private data,research on its data privacy protection technology is crucial.Aiming at the hot issues of current data aggregation privacy protection,this paper improves the shortcomings of traditional data aggregation privacy protection technology and proposes two improved and innovative data aggregation privacy protection algorithmsAiming at the problem of high communication overhead and low aggregation accuracy of SMART data aggregation privacy protection algorithm based on slice hybrid technology,a data aggregation privacy protection algorithm D-SMART based on dynamic slice is proposed.The algorithm achieves the reduction of data transmission between nodes by dynamic data slice of the importance degree of original collected data,reduces node communication overhead and improves data aggregation accuracy.Under the D-SMART algorithm,it is difficult for an attacker to capture a complete data slice,and at the same time,it is impossible to effectively recover the hacked data slices,thereby ensuring the privacy protection performance of the node.The simulation results show that compared with the traditional data aggregation privacy protection algorithm,the D-SMART algorithm has obvious performance advantages in data aggregation accuracy and communication overhead,which makes up for the defects of the original algorithm.Aiming at the defect that some nodes in the SMART algorithm can not find enough neighbor nodes to send data slices,the privacy protection is low.The "local slice optimization" strategy is added and a data aggregation privacy protection algorithmLO-SMART is proposed.The algorithm improves the privacy protection of the entire network by reasonably slicing the sliced failed nodes and increasing the in-degree link of the slice failed nodes,and improves the data aggregation accuracy to a certain extent.Through simulation experiments and theoretical analysis,the privacy protection performance of the LO-SMART algorithm has been significantly improved,and the data aggregation accuracy has also been improved.