首页> 外文期刊>Journal of Theoretical and Applied Information Technology >DEVELOPING A NEW REGRESSION BASED MONTE CARLO FORMULA TO ESTIMATE THE COVERAGE OVERLAPPING AREA IN WSNS
【24h】

DEVELOPING A NEW REGRESSION BASED MONTE CARLO FORMULA TO ESTIMATE THE COVERAGE OVERLAPPING AREA IN WSNS

机译:开发基于新的回归蒙特卡洛公式,以估算WSNS中的覆盖范围重叠区域

获取原文
获取外文期刊封面目录资料

摘要

This paper aims to develop a general equation suitable for the process of estimating the overlapping (intersection) area between any two symmetric (homogeneous) circles. The sensor node can be represented by a circle centers on the node position and its radius represents the coverage or the sensing range. Many experiments are done to develop a suitable representative equation. The first step is performed by applying Monte Carlo simulation to estimate the circles areas and comparing their estimated areas with the mathematically calculated areas. The results show that the simulation results are too close to the mathematical calculations. Then Monte Carlo is applied to estimate the overlapping area between two intersected circles. The estimated results are used to develop a general regression equation which can be used easily in estimating any overlapping area between any two similar circles depending on the circle radius and the distance between the two centers. The experiments are conducted on the two not similar (heterogeneous) circles. The results show difficulties in developing one general equation to represent all the cases. This study helps in developing a suitable equation for each set of two not similar circles.
机译:本文旨在开发一种适用于估计任何两个对称(均匀)圆之间的重叠(交叉点)区域的过程的一般方程。传感器节点可以由节点位置上的圆中心表示,并且其半径表示覆盖范围或感测范围。完成了许多实验以发展合适的代表性等式。通过应用Monte Carlo模拟来执行第一步,以估计圆圈区域并将其估计区域与数学计算区域进行比较。结果表明,仿真结果太靠近数学计算。然后应用蒙特卡罗来估计两个相交的圆之间的重叠区域。估计的结果用于开发一般回归方程,其可以容易地在估计任何两个类似圆之间的任何重叠区域,这取决于圆半径和两个中心之间的距离。实验在两个不相似(异质)圆上进行。结果表明,在开发一个总体方程来代表所有病例的困难。该研究有助于为每组两组而不是类似的圆圈开发合适的等式。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号