A Data Aggregation Privacy Protection Algorithm Based on Fat Tree in Wireless Sensor Networks

Cheng Li,Xin Zhao,Yan Mao,Guoyin Zhang,Mohamed Amine Ferrag

doi:10.1155/2021/9975912

Cheng Li, Xin Zhao + Show 3 more

Open Access

https://doi.org/10.1155/2021/9975912

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Abstract

Wireless sensor network is the momentous part of the Internet of Things. Data aggregation technology is the most practical method to reduce the amount of communication among nodes. Adding a privacy protection mechanism to data aggregation is one of the important means for privacy protection and security in wireless sensor networks. Aiming at certain performance defects of the existing SMART (Slice-Mix-AggRegaTe) privacy protection algorithms, a fat tree-based data aggregation privacy protection algorithm is proposed in this paper, which is referred to as the FTSMART (Fat Tree Slice-Mix-AggRegaTe) algorithm. Concerning the innovative algorithm, the fat tree (FT) is introduced, the fat tree structure is adopted to optimize the data slicing scheme and the aggregation tree generation scheme, and the allocation of fixed time intervals is employed for nodes to reduce the transmission collision in the data aggregation process and to guarantee the completion of the data transmission. The simulation experiment results demonstrate that the FTSMART algorithm has presented the favorable performance in terms of the privacy protection, the network communication overhead, and the data aggregation accuracy.

Highlights

Wireless sensor network (WSN) is the multihop and selforganized networks formed from a large amount of wireless sensor nodes by wireless communications
According to the energy-constrained characteristics of wireless sensor network, the data aggregation technology is widely used. e core of the data aggregation technology is to aggregate the data from different information sources, remove the redundant information, and reduce the amount of transmitted data by means of the data compression and the feature extraction
Based on the research of the data slicing aggregation in the SMART (Slice-Mix-AggRegaTe) algorithm [2], the fat tree [3] is introduced into the domain of wireless sensor network, and a fat tree-based data aggregation privacy protection algorithm is proposed in this paper

Summary

Introduction

Wireless sensor network (WSN) is the multihop and selforganized networks formed from a large amount of wireless sensor nodes by wireless communications. Based on the research of the data slicing aggregation in the SMART (Slice-Mix-AggRegaTe) algorithm [2], the fat tree [3] is introduced into the domain of wireless sensor network, and a fat tree-based data aggregation privacy protection algorithm is proposed in this paper.

Results

Conclusion