Fast Approximation Algorithms for Multiple Coverage with Unit Disks

Effective monitoring of applications in wireless sensor networks can be underpinned by the multiple coverage problem with unit disks. In the problem, we are given a set of targets T = {t1, t2, …, tn} distributed in the plane, where ti needs to be covered f(ti) times for any positive integer f(ti). The aim is to place a minimum number of disks, such that all the targets can be covered as desired. In the paper, we first present a 5-approximation algorithm with runtime O(n + m) for m = maxi{f(ti)}. Then, we give a theoretically improved 4-approximation algorithm, albeit with an increased time complexity to O(n2). In addition, we consider the online setting where targets arrive in sequence and upon each arrival the corresponding coverage disk must be placed. For this setting, we devise an online algorithm with a competitive ratio of 6 and constant update time. To verify aforementioned theoretical findings, numerical experiments are conducted to demonstrate and compare the practical performance of the proposed algorithms.