Mira Rani Debbarma, Sangita Rani Bhowmik, Abhishek Majumder
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引用次数: 0

摘要

在无线传感器网络中,空穴最小化是一个关键问题。在存在障碍的情况下,这个问题变得更具挑战性。本文提出了一种称为增强VEDGE (E-VEDGE)的孔最小化技术。该方案同时使用了Voronoi多边形和Delaunay三角剖分,使其能够在存在障碍物的情况下有效地工作。该方案与其他两种现有方案(即VEDGE和Delaunay三角测量评分(DT-Score))一起进行了模拟。仿真结果表明,E-VEDGE的最大覆盖率为95% ~ 96.8%,VEDGE和DT-Score的最大覆盖率分别为89% ~ 92.5%和86% ~ 87%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
E-VEDGE
Hole minimization in wireless sensor networks is a critical issue. In the presence of obstacles, the issue becomes much more challenging. In this article, a hole minimization technique named enhanced VEDGE (E-VEDGE) has been proposed. The scheme uses both the Voronoi polygon and Delaunay triangulation so that it can work efficiently in presence of obstacle. The proposed scheme, along with two other existing schemes namely: VEDGE and the Delaunay Triangulation-Score (DT-Score) has been simulated. Simulation results show that while the proposed E-VEDGE provides a maximum coverage of 95% to 96.8%, VEDGE and DT-Score provide maximum coverage of 89% to 92.5% and 86% to 87%, respectively.
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