Abstract
The energy consumption of wireless sensor network has a direct impact on network lifetime and sensing efficiency, and data fusion technology can perfectly solve this problem. By using the spatial correlation of sensing data between adjacent nodes in the network, the redundant data are fused at the relay nodes, so as to reduce the energy consumption of the network. Considering the demand of data privacy preserving in wireless sensor networks, many data fusion methods with privacy preserving are proposed. This paper analyzes the existing typical privacy preserving data fusion methods, compares their advantages and disadvantages, and puts forward some views on the future research direction.