论文标题

使用有限容量无人机在边境监视中最佳放置基站

Optimal Placement of Base Stations in Border Surveillance using Limited Capacity Drones

论文作者

Bereg, S., Díaz-Báñez, J. M., Haghpanah, M., Horn, P., Lopez, M. A., Marín, N., Ramírez-Vigueras, A., Rodríguez, F., Solé-Pi, O., Stevens, A., Urrutia, J.

论文摘要

想象一个以简单的多边形$¶$模型的岛屿,带有$ n $顶点,我们希望监视其海岸线。我们认为,沿$¶$的边界建设最小数量的加油站的问题是,无人机可以沿着多边形路线沿着岛上的多边形路线沿着岛上的含量耗尽。无人机可以在连续车站之间飞行最大距离$ d $,并且仅限于沿$¶$或其外部(即在水上)的边界移动。我们提出了一种算法,鉴于$ \ Mathcal P $,它找到了一组加油站的位置,其基数最多是最佳的加上一个。该算法的时间复杂度为$ O(n^2 + \ frac {l} {d} n)$,其中$ l $是$ \ natercal p $的长度。我们还提出了一种算法,该算法返回添加$ε$ - approximation,以最大程度地减少无人机所需的燃油容量,而当我们被允许我们在岛屿边界周围放置$ k $的基站;该算法还找到了这些加油站的位置。最后,我们提出了一种实践离散化启发式化,在某些条件下,可以用来证明结果的最佳性。

Imagine an island modeled as a simple polygon $¶$ with $n$ vertices whose coastline we wish to monitor. We consider the problem of building the minimum number of refueling stations along the boundary of $¶$ in such a way that a drone can follow a polygonal route enclosing the island without running out of fuel. A drone can fly a maximum distance $d$ between consecutive stations and is restricted to move either along the boundary of $¶$ or its exterior (i.e., over water). We present an algorithm that, given $\mathcal P$, finds the locations for a set of refueling stations whose cardinality is at most the optimal plus one. The time complexity of this algorithm is $O(n^2 + \frac{L}{d} n)$, where $L$ is the length of $\mathcal P$. We also present an algorithm that returns an additive $ε$-approximation for the problem of minimizing the fuel capacity required for the drones when we are allowed to place $k$ base stations around the boundary of the island; this algorithm also finds the locations of these refueling stations. Finally, we propose a practical discretization heuristic which, under certain conditions, can be used to certify optimality of the results.

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