Title: Analysis of estimator and energy consumption with multiple faults over the distributed integrated WSN

Authors: Rui Wang; Xianyu Wang; Hui Sun; Yongtao Huang; Zengqiang Chen

Addresses: College of Information Engineering and Automation, Civil Aviation University of China, Haihang Building, South Campus, Tianjin, 300300, China ' College of Information Engineering and Automation, Civil Aviation University of China, Haihang Building, South Campus, Tianjin, 300300, China ' College of Information Engineering and Automation, Civil Aviation University of China, Haihang Building, South Campus, Tianjin, 300300, China; Department of Engineering Design and Mathematics, University of the West of England, Frenchy Campus, Coldharbour Lane, Bristol, BS16 1QY, UK ' School of Electronic Engineering Electronic Science and Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China ' College of Computer and Control Engineering, Nankai University, Tianjin, 300071, China

Abstract: In this paper, based on event-triggered mechanism, a new state estimation algorithm is proposed for monitoring of pollutants in aircraft cabins. According to the actual environment of the aircraft cabin, the algorithm considers the influence of path loss and packet loss on the algorithm in monitoring system and can effectively monitor the pollutant concentration and save energy. The sufficient conditions for the stability of the algorithm have been proved in this paper and the influence of the triggered threshold on the energy consumption of the algorithm is analysed. Finally, the simulation proves that compared with the existing Kalman-consensus filter, the proposed algorithm has stronger fault tolerance and lower energy consumption, and energy consumption and accuracy of the algorithm can be controlled by adjusting the triggered threshold according to actual needs.

Keywords: estimation; packet loss; event-triggered; stability analysis; energy consumption.

DOI: 10.1504/IJMIC.2019.102365

International Journal of Modelling, Identification and Control, 2019 Vol.32 No.2, pp.154 - 168

Received: 26 Oct 2018
Accepted: 21 Nov 2018

Published online: 17 Sep 2019 *

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