Distributed Anti-Eavesdropping Fusion Estimation Under Energy Constraints

• 成果类型: Article
• 署名作者: Xu, Daxing; Chen, Bo; Zhang, Yuchen; Yu, Li
• 署名单位: Zhejiang University of Technology; Quzhou University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3250094
• 发表日期: 2023
• 页码: 7795-7802
• 关键词: estimation; encryption; estimation error; Sensor systems; Intelligent sensors; Eavesdropping; Covariance matrices; networked multisensor fusion systems (NMFSs); power allocation; Privacy protection; secure fusion estimation

摘要

In this article, we study the distributed fusion estimation problem with energy-constrained sensors in the presence of eavesdroppers, where smart sensors send their local estimates to a remote fusion center. To enhance privacy level, a novel encryption strategy is proposed by establishing an optimization problem, where the optimization objective is constructed by maximizing a combination of the fusion terminal estimation error covariance and the cost of encryption process in finite time domain. Meanwhile, the established problem is decomposed into several independent suboptimization problems under a relaxation condition, and a sufficient condition that depends on the system parameters is derived such that the suboptimization problems have optimal solutions. In this case, an optimal encryption strategy is designed with an analytical solution. Finally, a simulation example is given to show the effectiveness of the proposed methods.