Poster: Quadratic-Time Algorithms for Optimal Min-Max Barrier Coverage with Mobile Sensors on the Plane
Pei Yao, Longkun Guo, Jiguo Yu · 2021
Emerging applications impose the min-max line barrier coverage (LBC) problem that aims to minimize the maximum movement of the sensors for the sake of balancing energy consumption. In the paper, we devise an algorithm for LBC that finds an optimal solution within a runtime$O(n^{2})$, improving the previous state-of-art runtime$o(n^{2}\log n)$due to [7]. The key idea to accelerating the computation of the optimum solutions is to use approximation solutions that are obtained by our devised approximation algorithm. Numerical experiments demonstrate our algorithms outperform all the other baselines including the previous state-of-art algorithm.