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基于蚁群算法的WSN移动信标路径获取研究   总被引:1,自引:1,他引:1       下载免费PDF全文
根据ROI(Region of Interest)面积给出了等距三重优化覆盖此ROI所需要的信标发射位置数量计算方法;随后对矩形ROI提出了一种简单的信标发射位置确定方法;针对现有的遍历发射位置点的路径遍历算法的不足,提出了一种新的应用蚁群算法的信标发射位置点的遍历算法,并利用该算法对基于三边测量方法进行传感器节点定位。仿真实验表明,采用该文提出的方法对传感器节点进行定位,在定位的精度和定位的效率方面与现存的方法相比有明显的提高。  相似文献
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Locating sensors in an indoor environment is a challenging problem due to the insufficient distance measurements caused by short ultrasound range and the incorrect distance measurements caused by multipath effect of ultrasound. In this paper, we propose a virtual ruler approach, in which a vehicle equipped with multiple ultrasound beacons travels around the area to measure distances between pairwise sensors. Virtual Ruler can not only obtain sufficient distances between pairwise sensors, but can also eliminate incorrect distances in the distance measurement phase of sensor localization. We propose to measure the distance between pairwise sensors from multiple perspectives using the virtual ruler and filter incorrect values through a statistical approach. By assigning measured distances with confidence values, the localization algorithm can intelligently localize each sensor based on high confidence distances, which greatly improves localization accuracy. Our performance evaluation shows that the proposed approach can achieve better localization results than previous approaches in an indoor environment.  相似文献
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针对无线传感器网络中使用移动信标定位问题,提出了基于遗传算法的无线传感器网络移动信标定位及路径求取方法。首先根据区域面积计算出三重覆盖所需的发射信标位置的个数,用遗传算法优化求取信标发射位置,再用流浪旅行商算法获取遍历发射位置点的最优路径,在遍历时基于加权质心算法对传感器节点定位。实验结果表明,该方法可对传感器节点进行高效定位。  相似文献
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在分析无线传感器网络的结构模型的基础上,提出了一种基于支持向量机(SVM)的新型传感器三维定位算法.利用SVM算法能够在高维空间对非线性样本进行分类的优点,通过各传感器节点估测其与锚节点间的距离作为特征向量,最终对未知节点所属立方体空间进行分类来实现定位未知节点.实验结果表明:该算法达到了88%的平均定位准确率,而且对锚节点密度和距离误差具有较低的依赖性,验证了算法具有实用性.  相似文献
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首先,根据ROI(region of interest)面积给出了充分三重覆盖此ROI所需要的信标发射位置数量计算方法;接着,针对矩形ROI提出了一种简单的信标发射位置确定方法;之后,针对任意形状ROI提出了利用虚拟力获取信标发射位置坐标的方法;最后,利用流浪旅行商算法获取遍历这些发射位置点的最优路径,并基于多边测量方法进行传感器节点定位.仿真实验表明,采用上述方法可以对传感器节点进行高效且精度可控的定位.  相似文献
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Localization is one of the fundamental problems in wireless sensor networks (WSNs), since locations of the sensor nodes are critical to both network operations and most application level tasks. Although the GPS based localization schemes can be used to determine node locations within a few meters, the cost of GPS devices and non-availability of GPS signals in confined environments prevent their use in large scale sensor networks. There exists an extensive body of research that aims at obtaining locations as well as spatial relations of nodes in WSNs without requiring specialized hardware and/or employing only a limited number of anchors that are aware of their own locations. In this paper, we present a comprehensive survey on sensor localization in WSNs covering motivations, problem formulations, solution approaches and performance summary. Future research issues will also be discussed.  相似文献
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