A Constant-Approximation Algorithm for Budgeted Sweep Coverage with Mobile Sensors
Abstract
In this paper, we present the first constant-approximation algorithm for {\em budgeted sweep coverage problem} (BSC). The BSC involves designing routes for a number of mobile sensors (a.k.a. robots) to periodically collect information as much as possible from points of interest (PoIs). To approach this problem, we propose to first examine the {\em multi-orienteering problem} (MOP). The MOP aims to find a set of vertex-disjoint paths that cover as many vertices as possible while adhering to a budget constraint . We develop a constant-approximation algorithm for MOP and utilize it to achieve a constant-approximation for BSC. Our findings open new possibilities for optimizing mobile sensor deployments and related combinatorial optimization tasks.
Cite
@article{arxiv.2408.12468,
title = {A Constant-Approximation Algorithm for Budgeted Sweep Coverage with Mobile Sensors},
author = {Wei Liang and Shaojie Tang and Zhao Zhang},
journal= {arXiv preprint arXiv:2408.12468},
year = {2024}
}