Distributed State Estimation Over Wireless Sensor Networks Against Deception Attacks: A Buffer-Aided Strategy

作者：Cong Huang, Li Zhu, Peng Mei, Serdar Coskun, Shichun Yang · 发表于：IEEE Transactions on Consumer Electronics · 年份：2025 · DOI：10.1109/tce.2025.3586844 · 被引用次数：4 · 研究领域：Security in Wireless Sensor Networks、Energy Efficient Wireless Sensor Networks、Network Security and Intrusion Detection

This paper is concerned with the distributed state estimation problem under both intermittent transmissions and randomly occurring deception attacks over wireless sensor networks. A set of random variables following Bernoulli distributions with a specified probability is utilized to describe the randomly occurring deception attacks. To enhance the state estimation performance under intermittent transmissions, a buffer-aided strategy is employed to store the untransmitted measurements, which are conveyed to the estimator simultaneously when the shared communication channel is allowed. The goal of this paper is to construct a buffer-aided-based distributed state estimation framework that generates the desired estimates within the unreliable communication networks. The upper bound on the estimation error covariance is derived recursively and then minimized by appropriately choosing the estimator gains. Furthermore, the issue of sensor network topology’s sparseness is solved by means of the matrix simplification technique. Finally, some simulation experiments are provided to demonstrate the feasibility of the proposed buffer-aided-based distributed state estimation scheme.