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首页> 外文会议>Chinese Control Conference >Consensus based Distributed Concentration-Weighted Summation Algorithm for Gas-Leakage Source Localization Using a Wireless Sensor Network
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Consensus based Distributed Concentration-Weighted Summation Algorithm for Gas-Leakage Source Localization Using a Wireless Sensor Network

机译：基于共识的分布式浓度加权求和算法，用于无线传感器网络的漏气源定位

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摘要

A distributed estimation of the gas-leakage source location using a wireless sensor network is proposed. The cumulativeobjective function of centralized least square approach imposes difficulties on its distributed implementation, whilethe sequential updating of posterior probability density function in the Bayesian inference makes it straightforward to form adistributed algorithm. The objective function of centralized least square method is decomposed to single summands. Then,local estimates aimed at minimizing these summands are calculated in the perspective of sequential Bayesian inference. Finally,the weighted summation of these local estimates forms the global estimates, and the measurements are regarded as the adaptiveweights. Consensus algorithm is applied to fuse the local estimates. The computational complexity of local estimation isdramatically decreased, and numerical examples show the fast convergence and considerable accuracy of our algorithm.
机译：提出了使用无线传感器网络的气体泄漏源位置的分布式估计。集中式最小二乘方法的累积目标函数为其分布式实现带来了困难，而贝叶斯推断中后验概率密度函数的顺序更新使其易于形成分布式算法。集中最小二乘法的目标函数被分解为单个求和。然后，从顺序贝叶斯推断的角度计算了旨在最小化这些求和的局部估计。最后，这些局部估计的加权求和形成全局估计，并且将测量结果视为自适应权重。应用共识算法融合局部估计。极大地降低了局部估计的计算复杂度，数值算例表明了该算法的快速收敛性和相当高的准确性。

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