Hierarchical Localization Algorithm Based on Inverse Delaunay Tessellation
Hierarchical Localization Algorithm Based on Inverse Delaunay Tessellation
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DOI：
10.1007/11669463_15
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发表时间：
2006-02
期刊：
影响因子：
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通讯作者：
Masayuki Saeki;J. Inoue;K. Khor;Tomohiro Kousaka;Hiroaki Honda;K. Oguni;M. Hori
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文献类型：
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作者：
Masayuki Saeki;J. Inoue;K. Khor;Tomohiro Kousaka;Hiroaki Honda;K. Oguni;M. Hori
提出了一种用于鲁棒定位的分层传感器网络系统。该系统由具有低价格L1 GPS接收机的父节点和配备声学测距设备的子节点组成。子节点之间的相对位置估计的基础上通过逆Delaunay算法的声学测距。该算法同时定位所有节点，从而抑制了定位误差的积累。相对本地化的子传感器节点的全球坐标的帮助下，父节点。采用3个GPS父节点和21个子节点（MOTE）进行了田间试验。
This paper presents the hierarchical sensor network system for robust localization. This system consists of parent nodes with a low priced L1 GPS receiver and child nodes equipped with an acoustic ranging device. Relative positions between child nodes are estimated based on acoustic ranging through the inverse Delaunay algorithm. This algorithm localizes all the nodes simultaneously, thus, the accumulation of the error in the localization is suppressed. Relatively localized child sensor nodes are given global coordinates with the help of GPS on parent nodes. Field experiment was conducted with three GPS parent nodes and twenty-one child nodes (MOTE).