首页> 外国专利> RANGING AND POSITIONING METHOD APPLICABLE TO WSN HAVING SPARSE ANCHOR NODES

RANGING AND POSITIONING METHOD APPLICABLE TO WSN HAVING SPARSE ANCHOR NODES

机译:适用于具有稀疏锚点节点的WSN的测距和定位方法

摘要

Disclosed is a ranging and positioning method applicable to a WSN having sparse anchor nodes. The ranging and positioning method applicable to a WSN having sparse anchor nodes comprises: a positioning center acquiring coordinate parameters of anchor nodes and information of ranging between all sensing nodes in a network, constructing a positioning model, and generating a blind node positioning matrix; generating a fitness function according to the positioning model, and constructing an adaptive operator; and running an adaptive fireworks algorithm to perform iterative optimization, outputting optimal elite individuals, and parsing same into coordinates of all blind nodes. By utilizing information of ranging between all sensing nodes, in particular by incorporating information of ranging between blind nodes, the positioning model of the present invention significantly improves the positioning precision of sensing nodes, reduces the dependence on the density of anchor nodes, and can support positioning of both a two-dimensional plane and a three-dimensional space, so that the present positioning method can be well applied to a WSN having sparse anchor nodes.
机译:公开了一种可应用于具有稀疏锚固节点的WSN的测距和定位方法。适用于具有稀疏锚点节点的WSN的测距和定位方法包括::定位中心获取锚节点的坐标参数和网络之间的所有感测节点之间的信息,构建定位模型,并产生盲节点定位矩阵;根据定位模型产生健身功能,并构建自适应操作员;并运行自适应烟花算法来执行迭代优化,输出最佳精英个体,并将其解析为所有盲节点的坐标。通过利用所有感测节点之间的范围的信息,特别是通过结合盲节点之间的范围的信息,本发明的定位模型显着提高了感测节点的定位精度,从而减少了对锚点节点密度的依赖性,并且可以支持定位二维平面和三维空间,使得本定位方法可以很好地应用于具有稀疏锚固节点的WSN。

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