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Underwater sensor networks localization based on mobility- constrained beacon

机译：基于移动受限灯架的水下传感器网络定位

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摘要

Node localization is one of the key technologies of Underwater Sensor Networks (UWSN). Because of the unique ocean environment conditions, beacon nodes are difficult to deploy precisely and move under the action of ocean currents and tides. Usually the beacon nodes are fixed to the sea floor through anchors and cables, and they can move within a certain range. Most existing localization algorithms do not take such mobility of beacon nodes into account, resulting in large localization errors. In order to overcome this disadvantage, this paper analyzes the characteristics of mobile-constrained beacon nodes and proposes a new localization algorithm in UWSN, namely, Mobile-constrained beacon based localization algorithm. It solves the problem that the position of beacon node is dynamic and imprecise. The unknown node can be located by the geometric relationship between the position of the anchor and the moving radius of the beacon node. In the calculation process, the polygonal area is transformed into a rectangular area, and the three-dimensional (3D) space is mapped into a two-dimensional (2D) space, the calculation process is simplified, and the feasibility of the algorithm is improved. The algorithm can be used both for 2D and 3D localization. Experiment results show that the algorithm proposed in this paper improves the localization accuracy, reduces the error rate of network node location, and has good practicality.
机译：节点本地化是水下传感器网络（UWSN）的关键技术之一。由于独特的海洋环境条件，信标节点难以精确地部署，并在海洋电流和潮汐的动作下移动。通常，信标节点通过锚和电缆固定在海底上，并且它们可以在一定范围内移动。大多数现有的本地化算法不考虑信标节点的这种移动性，从而导致大量的本地化误差。为了克服这个缺点，本文分析了移动受限信标节点的特性，并提出了一种新的UWSN定位算法，即移动受限基于信标的本地化算法。它解决了信标节点的位置是动态和不精确的问题。未知节点可以由锚的位置与信标节点的移动半径之间的几何关系定位。在计算过程中，多边形区域被转换成矩形区域，并且三维（3D）空间被映射到二维（2D）空间中，简化了计算过程，并且提高了算法的可行性。该算法可以用于2D和3D本地化。实验结果表明，本文提出的算法提高了本地化精度，降低了网络节点位置的错误率，并具有良好的实用性。

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