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This paper focuses on discrete-time wireless sensor networks withprivacy-preservation. In practical applications, information exchange betweensensors is subject to attacks. For the information leakage caused by the attackduring the information transmission process, privacy-preservation is introducedfor system states. To make communication resources more effectively utilized, adynamic event-triggered set-membership estimator is designed. Moreover, theprivacy of the system is analyzed to ensure the security of the real data. As aresult, the set-membership estimator with differential privacy is analyzedusing recursive convex optimization. Then the steady-state performance of thesystem is studied. Finally, one example is presented to demonstrate thefeasibility of the proposed distributed filter containing privacy-preservinganalysis.

Dynamic Event-Triggered Discrete-Time Linear Time-Varying System with Privacy-Preservation