一种基于分布式最小均方差序贯估计的气体泄漏源定位算法

摘要

基于无线传感网络的气体泄漏源定位在环境监测、安全防护和污染控制等多个领域具有重要意义。提出一种基于分布式最小均方差( D-MMSE)序贯估计的气体泄漏源定位算法。其通过构建一个包含节点之间信息增益与网络能量消耗两方面参数的信息融合目标函数，并对目标函数寻优实现路由节点的调度与选择。所选节点在其测量值和前节点估计值并通过与邻居节点信息交互的基础上完成气体泄漏源位置参数估计量及其方差的更新与传递。为了降低网络能耗，邻居节点集的选择半径随估计量方差做动态调整。仿真分析表明所提算法对比单节点序贯估计定位算法在一定的能耗条件下可获得较高的定位精度和速度。%Distributed gas source localization with Wireless Sensor Networks has an important significance in the en-vironmental monitoring,security protection and pollution control and other fields. a gas leakage source localization ( GLSL) algorithm based on distributed minimum mean squared error( D-MMSE) sequential estimation is proposed. In the proposed GLSL algorithm, an information fusion objective function which combines the information utility measure and the communication cost between sensor nodes is constructed,and the sensor-node scheduling scheme is designed by optimizing the information fusion objective function;For each selected sensor node,the estimator and the corresponding mean square error are updated with its own observation and the noise corrupted decision from the previous node and transmitted to the next selected node by collaborating information within its neighborhood,and to decrease the energy consumption,the neighborhood radius is adjusted dynamically based on the mean square error. At last,the analysis and simulation results show that the proposed algorithm could be applied to the GLSL with a realtively high accuracy, less time and relatively energy consumption compared to the single node sequential estimation algorithm.