Data fusion privacy preserving algorithm based on failure nodes in wireless sensor networks

Wireless sensor networks are responsible for sensing, gathering and processing the information of the objects in the network coverage area. Traditional data fusion technology does not generally provide data privacy protection mechanism, at the same time, failure node will cause interference to neighboring nodes, and even give rise to coverage holes, affect the normal operation of the whole network, reduce the sensing data robustness, integrity and the fusion result accuracy. In this paper, we consider the privacy and the accuracy of fusion result, and propose a data fusion privacy preserving algorithm (DFPPA) based on the detection of failure nodes. DFPPA relies on the characteristics of the data fusion tree, using the method of pre distribution random number in the node to reach the privacy protection requirements. Theoretical analysis shows that the malicious attacker attempts to steal the difficulty of node privacy in DFPPA algorithm. Finally, the simulation results in TOSSIM show that compared with TAG and SMART algorithms, the DFPPA algorithm has good performance in data traffic and fusion accuracy. © 2016, UK Simulation Society. All rights reserved.