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.

中文翻译：

---

具有开关量化器的分布式无线传感器系统分析

在本文中，提出了一种切换量化器来解决分布式无线传感器网络 (WSN) 的带宽限制应用问题。所提出的基于切换定量事件触发卡尔曼一致性过滤 (KCF) 算法的估计器用于在 WSN 通信过程中遇到数据包丢失和路径丢失问题时监控飞机机舱环境参数。新型切换量化器结构的量化误差是有界的，并证明了量化估计方法的相应稳定性理论。与其他方法相比，所引入方法的仿真结果验证了可以准确及时地估计环境参数，减少网络通信带宽的负担。