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A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks

机译：水下无线传感器网络中的移动锚节点辅助RSSI本地化方案

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摘要

In this paper, a mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks (UWSNs) is proposed, which aims to improve location accuracy and shorten location time. First, to improve location accuracy, we design a support vector regression (SVR) based interpolation method to estimate the projection of sensor nodes on the linear trajectory of the mobile anchor node. The proposed method increases the accuracy of the nonlinear regression model of noisy measured data and synchronously decreases the estimation error caused by the discreteness of measured data. Second, to shorten location time, we develop a curve matching method to obtain the perpendicular distance from sensor nodes to the linear trajectory of the mobile anchor node. The location of the sensor node can be calculated based on the projection and the perpendicular distance. Compared with existing schemes that require the anchor node to travel at least two trajectories, the proposed scheme only needs one-time trajectory to locate sensor nodes, and the location time is shortened with the reduction in the number of trajectories. Finally, simulation results prove that the proposed scheme can obtain more accurate sensor node location in less time compared with the existing schemes.
机译：提出了一种水下无线传感器网络（UWSN）中的移动锚节点辅助RSSI定位方案，旨在提高定位精度，缩短定位时间。首先，为了提高定位精度，我们设计了一种基于支持向量回归（SVR）的插值方法，以估算传感器节点在移动锚点线性轨迹上的投影。所提出的方法提高了嘈杂的测量数据的非线性回归模型的准确性，同时减少了由测量数据的离散性引起的估计误差。其次，为了缩短定位时间，我们开发了一种曲线匹配方法来获取从传感器节点到移动锚节点线性轨迹的垂直距离。可以基于投影和垂直距离来计算传感器节点的位置。与要求锚节点至少移动两条轨迹的现有方案相比，所提出的方案仅需要一次轨迹来定位传感器节点，并且随着轨迹数量的减少而缩短了定位时间。最后，仿真结果表明，与现有方案相比，该方案可以在更短的时间内获得更准确的传感器节点定位。

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