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传统光纤传感器网络节点安全定位方法成本高、功耗大、扩展性差,在处理大量节点数据信息时误差率高,有时甚至无法实现对光纤传感器网络节点的定位,提出基于粗糙集的光纤传感器网络节点安全定位方法,首先建立未知光纤传感器网络节点信号和数据信息的数学模型,然后运用粗糙集理论对数据进行分析、预处理和约简,最后利用少量信标节点对未知节点测距,实现对光纤传感器网络节点的安全定位。结果表明,该方法可以有效地控制功耗、提高节点覆盖率、准确地实现对光纤传感器网络节点的安全定位。
The traditional fiber sensor network node security location method has the disadvantages of high cost, large power consumption and poor scalability. When the data information of a large number of nodes is processed, the error rate is high, and sometimes it is impossible to locate the node of the fiber sensor network. A fiber sensor network node based on the rough set Firstly, the mathematic model of signal and data information of unknown optical fiber sensor network nodes is established. Then, rough set theory is used to analyze, preprocess and reduce the data. Finally, a few beacon nodes are used to locate unknown nodes, Network node security positioning. The results show that this method can effectively control the power consumption, improve the coverage of nodes and accurately locate the nodes of optical fiber sensor networks.