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An Improved Point-in-Triangulation Localization Algorithm Based on Cosine Theorem

机译:一种基于余弦定理的改进的三角剖分定位算法

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Self-localization of sensor nodes is one of the important technologies in wireless sensor networks. APIT is a range-free localization algorithm; it has the advantages of high localization accuracy and low communication overhead. However, the localization coverage of APIT is low, and when the proportion of anchor nodes is low, APIT is prone to OutToIn and InToOut error. To solve the above problems, this paper proposed a new point-in-triangulation test method based on cosine theorem according to APIT's basic idea to prevent OutToIn and InToOut error, and added RSSI model to locate the unknown nodes which are judged outside the triangles through trilateral measurement method to improve the localization coverage. Simulation results shows that compared with APIT algorithm, the new algorithm has higher localization accuracy and coverage.
机译:传感器节点的自定位是无线传感器网络中的重要技术之一。 APIT是一种无范围的定位算法;具有定位精度高,通信开销低的优点。但是,APIT的本地化覆盖率很低,并且当锚节点的比例很低时,APIT容易出现OutToIn和InToOut错误。为解决上述问题,本文根据APIT的基本思想,提出了一种基于余弦定理的三角剖分测试方法,以防止OutToIn和InToOut误差,并增加了RSSI模型来定位通过三角形判断出的未知节点。三边测量法,以提高定位覆盖率。仿真结果表明,与APIT算法相比,新算法具有更高的定位精度和覆盖范围。

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