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A Mobile-Beacon-Based Iterative Localization Mechanism in Large-Scale Underwater Acoustic Sensor Networks

机译:基于移动信标的大规模水下声学传感器网络的迭代定位机制

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摘要

The accurate localization of nodes is one of the most basic tasks in underwater acoustic sensor networks (UASNs). However, in large-scale UASNs, nodes are difficult to be accurately located because GPS signals cannot be received and because underwater nodes cannot establish one-hop communication with beacons due to the limited transmission range. With the development of self-sinking beacon technology, in this article, we propose a mobile-beacon-based iterative localization (MBIL) mechanism to realize node hierarchically positioning of large-scale multihop UASNs with an aim at increasing the percentage of localized nodes and reducing the localization error in the network. The proposed mechanism first uses mobile beacon nodes to localize adjacent sensor nodes. Once the location information is obtained, the sensor node will calculate its confidence value to determine whether it is a qualified reference node. Then, the unknown nodes select three adjacent reference nodes with the highest evaluation index for localization, and the remaining unknown nodes are iteratively localized. Simulation results show that the proposed mechanism can not only achieve a higher proportion of localized nodes in a shorter time, but also effectively reduce the localization error. In addition, MBIL effectively balances the energy consumption of sensor nodes, which can prolong the network's lifetime.
机译:节点的准确本地化是水下声学传感器网络中最基本的任务之一(UASN)。然而,在大规模的UASN中,难以准确地定位节点,因为不能接收GPS信号,并且由于水下节点由于传输范围有限而无法与信标建立一个跳通通信。随着自下沉信标技术的发展,在本文中,我们提出了一种基于移动信标的迭代定位(MBIL)机制,实现了大规模多彩色UASN的节点分层定位,以增加本地化节点的百分比减少网络中的本地化错误。所提出的机制首先使用移动信标节点来定向相邻的传感器节点。一旦获得位置信息,传感器节点将计算其置信值以确定它是否是合格的参考节点。然后,未知节点选择具有最高评估索引的三个相邻的参考节点用于本地化,并且剩余的未知节点是迭代地定位的。仿真结果表明,所提出的机制不仅可以在较短的时间内达到较高比例的局部节点,而且有效地降低了本地化误差。此外,MBIL有效地平衡了传感器节点的能量消耗,这可以延长网络的寿命。

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