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Complexity of Barrier Coverage with Relocatable Sensors in the Plane

机译:平面中可重定位传感器的屏障覆盖的复杂性

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We consider several variations of the problems of covering a set of barriers (modeled as line segments) using sensors that can detect any intruder crossing any of the barriers. Sensors are initially located in the plane and they can relocate to the barriers. We assume that each sensor can detect any intruder in a circular area centered at the sensor. Given a set of barriers and a set of sensors located in the plane, we study three problems: the feasibility of barrier coverage, the problem of minimizing the largest relocation distance of a sensor (MinMax), and the problem of minimizing the sum of relocation distances of sensors (Min-Sum). When sensors are permitted to move to arbitrary positions on the barrier, the problems are shown to be NP-complete. We also study the case when sensors use perpendicular movement to one of the barriers. We show that when the barriers are parallel, both the MinMax and MinSum problems can be solved in polynomial time. In contrast, we show that even the feasibility problem is NP-complete if two perpendicular barriers are to be covered, even if the sensors are located at integer positions, and have only two possible sensing ranges. On the other hand, we give an O(n~(3/2)) algorithm for a natural special case of this last problem.
机译:我们考虑使用传感器覆盖一组障碍(建模为线段)的问题的几种变化,这些传感器可以检测到任何障碍物中的任何入侵者。传感器最初位于飞机中,它们可以迁移到屏障中。我们假设每个传感器可以检测在传感器为中心的圆形区域中的任何入侵者。鉴于一套障碍物和一组传感器位于飞机中,我们研究了三个问题:屏障覆盖的可行性,最小化传感器(Minmax)的最大重定位距离的问题,以及最小化重定位和最小化的问题传感器的距离(最小和)。当允许传感器移动到屏障上的任意位置时,问题显示为NP完整。我们还研究传感器使用垂直运动到其中一个障碍时的情况。我们表明,当屏障平行时,Minmax和Minsum问题都可以在多项式时间中解决。相反,如果要覆盖两个垂直障碍,即使传感器位于整数位置,也表明即使是要覆盖两个垂直屏障,也表明即使是垂直的障碍,也可以只有两种可能的感测范围。另一方面,我们给出了一个(n〜(3/2))算法的最后一个问题的自然特殊情况。

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