Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer

Hui Sun,Tongrui Peng,Kaixin Yang,Xianyu Wang,Jing Na

doi:10.1155/2021/6690761

Abstract

In this article, a switched quantizer is proposed to solve the bandwidth limitation application problem for distributed wireless sensor networks (WSNs). The proposed estimator based on switched quantitative event-triggered Kalman consensus filtering (KCF) algorithm is used to monitor the aircraft cabin environmental parameters when suffering packet loss and path loss issues during the communication process for WSN. The quantization error of the novel switched quantizer structure is bounded, and the corresponding stability theory for the quantitative estimation approach is proved. Compared with other methods, the simulation results for the introduced method verify that the environmental parameters can be estimated accurately and timely and reduce the burden of network communication bandwidth.

Highlights

Due to the rapid development of the civil aviation industry, the safe and comfortable cabin environment has become one of the most important foci for aircraft designers and operators
Pipe ruptures, or seal failures occur in the narrow and closed cabins and cargos, the cabin environment probably is contaminated, which can cause passengers and crew members dizziness, headaches, ear disease, dry eye syndrome, throat pains, and other adverse events, even severe neurological disorders [1, 2]. is will seriously threaten flight safety. e higher air recirculation rate is a trend for the design of future aircraft for guaranteeing air quality in the cabin [3]
It becomes possible that some specific wireless sensor networks (WSNs) such as short-range WSN can be employed in monitoring narrow and complex spaces, such as cabin and cargo environments which are the trend for the future aircraft industry. en, estimating environment parameters accurately and quickly is the first prior issue for the correct alarm decision to monitor inside environments

Summary

Introduction

Due to the rapid development of the civil aviation industry, the safe and comfortable cabin environment has become one of the most important foci for aircraft designers and operators. E work in [20] proposes a Kalman filtering algorithm based on event-triggered consensus for cabin pollutants monitoring. It does not consider the network bandwidth pressure of the system. E work in [26] studies a recursive filtering algorithm to deal with state estimation problems in power systems with quantized nonlinear measurements. Erefore, inspired by the above literature, this paper designs a switched quantizer for the WSN-based pollutant concentration estimation algorithm to solve the communication bandwidth limitation. E proposed event-trigger based algorithm with quantizers can help accurately estimate the cabin environment parameters in time but can save communication bandwidth.

Preliminaries

Stability Analysis for Switched Quantitative ET-KCT