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Research on the Repeater Distribution Based on Monte Carlo Method in Wireless Senor Networks

机译:无线传感器网络中基于蒙特卡罗方法的直放站分布研究

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This article builds two models to analysis the two cases of 1,000 and 10,000 simultaneous users. At first, this paper presents two models of repeater distribution in two cases of 1,000 and 10,000 simultaneous users the minimum numbers of repeaters are 9 and 83 under our assumptions. The repeater distribution problem is transformed to minimum cover problem and Monte Carlo method is employed. Solution of situation with mountain area is discussed. In first model for the case of 1,000 simultaneous users, we apply the theory of 'circles covering circles'. Unfortunately, we can prove that there are repeaters whose loads are beyond their capacity if we use the theory directly. Instead of trying to find more circles to cover the area, we modify the theory to fit our requirement. In second model for the case of 10,000 simultaneous users, we noticed the fact that hexagon is considered to be the optimal graphic which uses the least nodes to cover the maximum area. In this case, we model the repeater cover regions by several regular hexagons. The key point in this case is to calculate the area of intersection. Recognized the complexity of direct calculation, we follow the idea of the Monte Carlo method.
机译:本文建立了两个模型来分析1000个和10,000个同时用户的两种情况。首先,本文介绍了在1000和10,000个同时用户的两种情况下的中继器分布模型,在我们的假设下,中继器的最小数量为9和83。将中继器分配问题转化为最小覆盖问题,并采用蒙特卡洛方法。讨论了山区情况的解决方案。在第一个模型中,同时有1000个用户的情况下,我们应用“圆圈覆盖圆圈”的理论。不幸的是,如果直接使用该理论,我们可以证明某些中继器的负载超出其能力。我们没有尝试寻找更多的圆圈来覆盖该区域,而是修改了理论以适合我们的要求。在第二个模型中,同时有10,000个用户的情况下,我们注意到一个事实,即六角形被认为是最佳图形,它使用最少的节点来覆盖最大面积。在这种情况下,我们用几个正六边形为中继器覆盖区域建模。在这种情况下,关键点是计算相交面积。认识到直接计算的复杂性,我们遵循蒙特卡洛方法的思想。

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