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Belief Propagation-based Cooperative Localization for Quasi-Synchronous UWSNs with Sound Propagation Speed Uncertainty

机译:基于信仰传播的基于型uWSN的合作定位,具有声音传播速度不确定性

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Underwater wireless sensor networks (UWSNs) provide a promising approach for ocean monitoring. Locating the sensor nodes (SNs) in UWSNs is critical for annotating data samples. However, the global positioning system (GPS) is not available underwater. The locations of SNs are usually interpreted from anchor nodes which are deployed at known locations on the seafloor or sea surface. Due to the characteristics of UWSNs such as node sparsity, network asynchrony, energy restriction and sound propagation speed uncertainty, to locate the SN accurately is challenging. In this paper, we propose a factor graph framework and a Gaussian message-based belief propagation algorithm for the joint localization and synchronization problem. Particularly, the proposed algorithm jointly estimates the SN's position and clock offset as well as the sound propagation speed in a fully distributed fashion. Simulation results show that the proposed algorithm converges in a few iterations and achieves good performance.
机译:水下无线传感器网络(UWSNS)为海洋监测提供了有希望的方法。在UWSN中定位传感器节点(SNS)对于注释数据样本至关重要。但是,全球定位系统(GPS)在水下不可用。 SNS的位置通常从锚点解释,锚点节点被部署在海底或海面上的已知位置。由于UWSN的特点,如节点稀疏性,网络异步,能量限制和声音传播速度不确定性,准确定位SN是具有挑战性的。在本文中,我们提出了一种因子图框架和基于高斯消息的信仰传播算法,用于联合本地化和同步问题。特别地,所提出的算法共同估计SN的位置和时钟偏移以及以完全分布的方式估计声音传播速度。仿真结果表明,所提出的算法在几个迭代中收敛并实现了良好的性能。

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