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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Localised sensor direction adjustments with geometric structures of Voronoi diagram and Delaunay triangulation for directional sensor networks
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Localised sensor direction adjustments with geometric structures of Voronoi diagram and Delaunay triangulation for directional sensor networks

机译:用于定向传感器网络的具有Voronoi图和Delaunay三角剖分的几何结构的局部传感器方向调整

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摘要

A directional sensor network (DSN) consists of directional sensors instead of the omnidirectional ones in the conventional wireless sensor networks. The sensing coverage of a DSN depends on the directionality and size-specific sensing angle of the sensors. The conditions are dissimilar from those of omnidirectional sensor networks for researches, especially on the sensing coverage. For coverage problem in DSNs, the geometric structures of Voronoi diagram and Delaunay triangulation have not drawn the attention of researchers. This study utilised Voronoi diagram and Delaunay triangulation and proposed four basic distributed and localised sensor direction adjustment algorithms with the characteristics of these two geometric structures to explore the field coverage improvement in DSNs. The simulation results and comparisons of coverage performance of the proposed four basic algorithms are provided. They can give the clarity of the performance results and have a reference value for future advanced studies on various coverage issues in DSNs.
机译:定向传感器网络(DSN)由定向传感器组成,而不是常规无线传感器网络中的全向传感器。 DSN的感应范围取决于传感器的方向性和尺寸特定的感应角度。研究的条件与全向传感器网络的条件不同,特别是在传感范围上。对于DSN中的覆盖问题,Voronoi图和Delaunay三角剖分的几何结构尚未引起研究人员的注意。这项研究利用Voronoi图和Delaunay三角剖分,并提出了四种基本的分布式和局部传感器方向调整算法,这些算法具有这两种几何结构的特征,以探索DSN的场覆盖改善。提供了四种基本算法的仿真结果和覆盖性能的比较。它们可以使性能结果更清晰,并为将来对DSN中各种覆盖问题的高级研究提供参考。

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