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Barrier Covering in 2D Using Mobile Sensors with Circular Coverage Areas

机译:使用具有圆形覆盖区域的移动传感器在2D中覆盖屏障

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In the problem of barrier monitoring using mobile sensors with circular coverage areas, it is required to move the sensors onto some line (barrier) so that each barrier point belongs to the coverage area of at least one sensor. One of the criteria for the effectiveness of coverage is the minimum of the total length of the paths traveled by sensors. If we give up the requirement to move the sensors onto the barrier, then the problem (which is NP-hard) will not be easier. But at the same time, the value of the objective function can be reduced significantly. In this paper, we propose a new pseudo-polynomial algorithm which in the case of equal disks builds an optimal solution in the L metric and a /2-approximate solution in the Euclidean metric. This algorithm is an efficient implementation of the dynamic programming method in which at the stage of preliminary calculations for each sensor it is possible to find a finite number of analytical functions equal to the minimal length of the path traveled by the sensor depending on the positions of the circle and the barrier. The conducted numerical experiment showed that if we remove the requirement to move the sensors onto the barrier, then the value of the objective function may decrease several times.
机译:在使用具有圆形覆盖区域的移动传感器的障碍监测问题中,需要将传感器移动到一些线(屏障)上,使得每个阻挡点属于至少一个传感器的覆盖区域。覆盖有效性的标准之一是传感器行驶的路径总长度的最小值。如果我们放弃将传感器移动到屏障上的要求,那么问题(np-solly)不会更容易。但同时,客观函数的值可以显着减少。在本文中,我们提出了一种新的伪多项式算法,其在等磁盘的情况下,在欧几里德度量中的L 度量标准和 / 2近似解中构建最佳解决方案。该算法是动态编程方法的有效实现,其中在每个传感器的初步计算阶段,可以找到等于传感器行进的路径的最小长度的有限数量的分析功能,这取决于位置圆圈和屏障。进行的数值实验表明,如果我们去除将传感器移动到屏障上的要求,那么目标函数的值可能会减少几次。

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