Energy-efficient wireless sensor network data fusion mechanism with privacy protection method

The energy-saving transmission and privacy protection of sensor data is of great significance for deepening the applications of wireless sensor network. An energy-efficient wireless sensor network data fusion mechanism with privacy protection method is proposed to solve the problem that the current data fusion mechanism is less efficient and lacks privacy protection method. The sensor data privacy protection method is designed to protect the privacy of the sensor data by encrypting the sensor data at the sensor node. The energy-efficient data fusion mechanism is studied. Based on the deep learning theory, an efficient data fusion model is presented to improve the efficiency of sensor data fusion process. Simulation results show that the proposed mechanism can effectively guarantee the privacy of sensor data, improve the efficiency of data fusion, and reduce the energy consumptions of nodes.