Robust 3D Localization of Underwater Optical Wireless Sensor Networks via Low Rank Matrix Completion

N. Saeed, Abdulkadir Celik, T. Al-Naffouri, Mohamed-Slim Alouini
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引用次数: 12

Abstract

Location is one of the basic information required for underwater optical wireless sensor networks (UOWSNs) for three main purposes: 1) Relating the sensing measurements with precise sensor positions, 2) Enabling efficient routing techniques by exploiting the sensor locations, and 3) Sustaining link connectivity and performance via pointing and alignment mechanisms between the nodes. Even though various two-dimensional UOWSNs localization methods have been proposed in the past, the directivity of optical wireless communications and three dimensional (3D) deployment of sensors require to develop 3D underwater localization methods. Therefore, we propose a robust 3D localization method for partially connected UOWSNs with a limited number of anchors. The proposed method achieves an accurate 3D localization of all the nodes in the network by using a novel low-rank matrix approximation and outliers removal method. The performance of the proposed method is compared with the well known iterative majorization approach. The numerical results indicate that the proposed method outperforms the iterative majorization method substantially.
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基于低秩矩阵补全的水下无线光学传感器网络鲁棒三维定位
位置是水下光学无线传感器网络(UOWSNs)的基本信息之一,主要有三个目的:1)将传感测量与精确的传感器位置联系起来;2)利用传感器位置实现有效的路由技术;3)通过节点之间的指向和对齐机制维持链路的连通性和性能。尽管过去已经提出了各种二维UOWSNs定位方法,但由于光学无线通信的指向性和传感器的三维(3D)部署,需要开发三维水下定位方法。因此,我们提出了一种具有有限锚点数量的部分连接UOWSNs的鲁棒3D定位方法。该方法采用一种新颖的低秩矩阵逼近和异常值去除方法,实现了网络中所有节点的精确三维定位。将该方法的性能与已知的迭代多数化方法进行了比较。数值计算结果表明,该方法在很大程度上优于迭代优化方法。
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