The Private Data Aggregation Method of Wireless Sensor Networks Based on Improved Deep Neural Networks
In the wireless sensor network,the private data keys of all nodes can not be obtained dur in the transmission process,resulting in low data recovery rate.Therefore,a privacy data ag-gregation method for wireless sensor networks based on improved deep neural network is de-signed.Comprehensive analysis of the topology of the wireless sensing network,and select nodes near the convergence nodes as relay nodes.Using improved deep neural networks for data acqui-sition of wireless sensing networks that can capture and process a variety of environmental pa-rameters.The experimental results show that the designed privacy data aggregation method of wireless sensor network based on improved deep neural network has a data recovery rate of 99.8％with the data leakage probability of 10-4,compared with[1]78.5％and[2]67.2％,showing that the design method can still maintain an extremely high data recovery rate in extreme cases.We verify the effectiveness of the design method in handling the problem of data aggregation in wireless sensing networks.
improve the deep neural networkwireless sensor networkprivacy datadata aggre-gationprivacy key
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