煤矿井下无线传感器网络三维定位算法研究

Feng Wang, Cong Wang, Z. Wang, Xueying Zhang, Chao Shang
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引用次数: 2

摘要

现有的煤矿井下无线传感器网络(WSN)定位算法大多存在节点模型不合理、定位精度低、定位不稳定等问题。提出了一种新的煤矿巷道节点布置方法,并建立了井下节点定位模型。与传统模型相比,该模型可以在满足定位要求的情况下减少传感器节点数量。然后将目前常用的三维定位算法TDOA/AOA混合算法中的非测距定位算法引入到模型中。仿真结果表明:该算法比传统算法具有更好的定位性能,适用于煤矿井下。
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Research on 3D Localization Algorithm of Wireless Sensor Networks in Underground Coal Mine
Most of the existing algorithms for Wireless Sensor Networks (WSN) localization in underground coal mine are exposed such problems as unreasonable node model, low accuracy and unsteady. This paper presents a new method of nodes layout in coal mine roadway, and builds positioning model underground. Compared with traditional model, this model can reduce the number of sensor nodes when meets positioning requirement. Then the non-ranging positioning algorithm of TDOA/AOA hybrid algorithm, currently used as three-dimensional positioning algorithm, is introduced to the model. Simulation results show that: this algorithm has better positioning performance than the traditional algorithms, fitting into underground coal mine.
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