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

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.