文献类型：期刊文献

英文题名：Dynamic Encoding Scheme for State Estimation Over Wireless Sensor Networks

作者：Chen, Peipei[1];Yang, Wen[1];Liu, Yun[1];Zhang, Heng[2];Zhao, Zhiyun[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Jiangsu Ocean Univ, Sch Comp Engn, Lianyungang 222000, Peoples R China

年份：2023

卷号：70

期号：11

起止页码：4098

外文期刊名：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

收录：;EI(收录号：20232614309478);WOS:【SCI-EXPANDED(收录号:WOS:001094470200031)】；

语种：英文

外文关键词：Distributed network; state estimator; dynamic model; communication channel; privacy-preserving

摘要：In this brief, we consider the privacy-preserving strategies of the distributed state estimator over wireless sensor networks. Aiming at an eavesdropper who can intercept the data transmitted on the communication channel and the feedback channel, we analyze two scenarios, i) one can randomly intercept the estimates and the ACK signals of a certain sensor; ii) one can intercept multiple channels of different sensors and their ACK signals. For the first scenario, we design a dynamic encoding scheme to encode the transmitted data by using the characteristics of the channel model and the history estimates. For the second scenario, we propose a two-step code to prevent the eavesdropper from using other channel packets to decipher the current channel packets. We use the gap between the values deciphered by the eavesdropper and decoded by the sensor as the privacy index to evaluate the degree of robust privacy protection. Finally, we provide some simulations to illustrate the effectiveness of the proposed encoding schemes.