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A delaunay triangulation based method for wireless sensor network deployment

机译:基于Delaunay三角剖分的无线传感器网络部署方法

摘要

[[abstract]]To obtain a satisfied performance of wireless sensor network, an adaptable sensor deployment method for various applications is essential. In this paper, we propose a centralized and deterministic sensor deployment method, DT-Score (Delaunay Triangulation-Score), aims to maximize the coverage of a given sensing area with obstacles. The DT-Score consists of two phases. In the first phase, we use a contour-based deployment to eliminate the coverage holes near the boundary of sensing area and obstacles. In the second phase, a deployment method based on the Delaunay Triangulation is applied for the uncovered regions. Before deploying a sensor, each candidate position generated from the current sensor configuration is scored by a probabilistic sensor detection model. A new sensor is placed to the position with the most coverage gains. According to the simulation results, DT-Score can reach higher coverage than grid-based and random deployment methods with the increasing of deployable sensors
机译:[[摘要]]为了获得满意的无线传感器网络性能,一种适用于各种应用的自适应传感器部署方法至关重要。在本文中,我们提出了一种集中式确定性传感器部署方法DT-Score(Delaunay Triangulation-Score),旨在最大程度地增加给定障碍物的感应范围。 DT分数由两个阶段组成。在第一阶段,我们使用基于轮廓的展开来消除感应区域和障碍物边界附近的覆盖孔。在第二阶段,将基于Delaunay三角剖分的部署方法应用于未覆盖区域。在部署传感器之前,由概率传感器检测模型对从当前传感器配置生成的每个候选位置进行评分。将新的传感器放置在具有最大覆盖增益的位置。根据仿真结果,随着可部署传感器的增加,与基于网格的随机部署方法相比,DT-Score可以实现更高的覆盖范围

著录项

  • 作者

    Wu Chun-Hslen;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 [[iso]]en
  • 中图分类

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