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首页> 外文期刊>Applied Acoustics >Centralized underwater node localization using range based multilateral accumulation method (RBMAM)
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Centralized underwater node localization using range based multilateral accumulation method (RBMAM)

机译:使用基于范围的多边累积方法(RBMAM)进行集中式水下节点定位

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In large-scale underwater wireless sensor networks (UWSNs), many methods are proposed to localize underwater nodes for distributed networks. Compared to distributed networks, there are many problems such as large number of nodes, limited communication distances and incapability to cover full networks in centralized networks. Usually we use surface gateway node travelling in a fixed trajectory and simultaneously collecting underwater node information to localize node positions individually. While this method has low efficiency and high-complex operations, which is unsuitable for large-scale underwater node localization. Because of the limited underwater bandwidth, multipath interference and high propagation channels, the methods widely used in wireless localization cannot be directly used underwater. To deal with the typical problems in centralized underwater networks, this paper proposes a range based multilateral accumulation method (RBMAM). The method is designed for large-scale, high-efficiency and high precision underwater networks. We compared the performance with area localization scheme (ALS), which is widely used in wireless localization, and least square method (LSM). Simulation and actual experiment with four nodes are also performed. The results prove that this method has equal localization precision to LSM and high-efficiency, it is the ideal method for large-scale UWSN localization.
机译:在大规模水下无线传感器网络(UWSN)中,提出了许多方法来定位分布式网络的水下节点。与分布式网络相比,存在许多问题,例如节点数量大,通信距离有限以及无法覆盖集中式网络中的整个网络。通常,我们使用沿固定轨迹行进的水面网关节点,同时收集水下节点信息来分别定位节点位置。虽然这种方法效率低,操作复杂,但不适用于大规模水下节点定位。由于水下带宽有限,多径干扰和高传播信道,无线定位中广泛使用的方法无法在水下直接使用。为了解决集中式水下网络中的典型问题,本文提出了一种基于范围的多边累积方法(RBMAM)。该方法被设计用于大规模,高效和高精度的水下网络。我们将性能与无线定位中广泛使用的区域定位方案(ALS)和最小二乘法(LSM)进行了比较。还对四个节点进行了仿真和实际实验。结果表明,该方法具有与LSM相同的定位精度,且效率高,是大规模UWSN定位的理想方法。

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