基于三维地形修正的无线传感器网络覆盖盲区检测

发布时间：2018-04-21 01:02

本文选题：覆盖盲区 + 三维地形修正　；参考：《传感技术学报》2016年01期

【摘要】：三维地形下传感器节点经随机部署后,由于地形起伏的特点,会导致覆盖盲区的产生。为了能够有效检测覆盖盲区,本文提出了一种基于三维地形修正的无线传感器网络覆盖盲区检测方法,通过建立单位球感知模型,随机部署传感器节点,对节点进行Delaunay三角剖分。计算出三角形的外接圆,根据边界检测算法求出覆盖盲区边界,并且剔除假边界节点,得出改善后的边界。计算传感器节点的坡度和坡向信息,根据地形修正原理计算出传感器节点的实际探测半径,最终得出覆盖盲区的最小边界。仿真实验结果验证了该检测方法可有效检测三维地形下的覆盖盲区,对于起伏较大的地形也有一定的适应性。
[Abstract]:After random deployment of sensor nodes in 3D terrain, blind areas will be covered due to the characteristics of topographic fluctuation. In order to detect coverage blind area effectively, this paper presents a new method of blind area detection based on 3D terrain correction in wireless sensor network. By establishing unit sphere perception model, sensor nodes are deployed randomly. The nodes are triangulated by Delaunay. The outer circle of the triangle is calculated, and the boundary of the covered blind area is calculated according to the boundary detection algorithm, and the improved boundary is obtained by eliminating the false boundary nodes. The slope and direction information of sensor nodes are calculated, and the actual detection radius of sensor nodes is calculated according to the principle of terrain correction. Finally, the minimum boundary of coverage blind area is obtained. The simulation results show that the proposed method can effectively detect the blind areas in 3D terrain, and has a certain adaptability to the terrain with large undulation.
【作者单位】：桂林理工大学信息科学与工程学院;
【基金】：国家自然科学基金项目(E050603) 广西高等学校科研项目(YB2014157) 广西自然科学基金项目(2015GXNSFBA139254)
【分类号】：TP212.9;TN929.5

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