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Kcdlocation: A Localization Algorithm for Wireless Sensor Networks of Known Coordinate Database

机译：kcdlocation：已知坐标数据库的无线传感器网络定位算法

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摘要

Geographic location of nodes is very useful for a sensor network. A novel and practical Radio Frequency (RF)-based localization algorithm called Kcdlocation is presented for some specific network topologies, such as grid and linear topology. The Kcdlocation can be applied to those wireless sensor networks deployed with known coordinate database. This algorithm examines the ordered sequence of neighboring unknown nodes relative to anchor node, by ranking them on RSSI measurements between them and the anchor node, to determine the location of unknown nodes. Once the ranging technology can distinguish neighboring unknown nodes, it identifies the correct position for each sensor node. Its performances in the real circumstance have been verified through various experiments with several RF channels and node deployment parameters, where SKLTT sensor nodes developed by our lab are adopted. The node localization accuracy of Kcdlocation of a 5*4 grid network can reach 100% in a flat open square.
机译：节点的地理位置对于传感器网络非常有用。为某些特定网络拓扑提供了一种名为KCDlocation的新颖和实用的射频（RF）的本地化算法，例如网格和线性拓扑。 kcdlocation可以应用于部署有已知的坐标数据库的那些无线传感器网络。该算法通过在它们和锚节点之间的RSSI测量上对它们进行排序来检查相对于锚节点的相邻未知节点的有序序列，以确定未知节点的位置。一旦测距技术可以区分相邻的未知节点，它就会识别每个传感器节点的正确位置。通过具有多个RF信道和节点部署参数的各种实验，通过各种实验进行了真实情况的性能，其中采用了由我们的实验室开发的SKLTT传感器节点。 kcdlocation的节点定位精度为5 * 4电网网络的扁平方形方向达到100％。

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