Imagine an island modeled as a simple polygon $\P$ 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 $\P$ 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 $\P$ 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 $\epsilon$-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.

翻译：想象一个以简单多边方元$\P美元为模型的岛屿,其外壳为美元,我们希望监测它的海岸线。我们考虑了在美元/P美元边界沿线建立最低加油站数量的问题,这样无人驾驶飞机就可以在不耗油的情况下遵循封闭该岛的多边形路线。无人驾驶飞机可以在连续的站点之间飞行最高距离$d$,并限制沿着美元或外部边界(即水上)移动。我们提出了一个算法,根据美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元/美元