# Algorithms for Covering Multiple Barriers

## TL;DR

This paper develops efficient algorithms for covering multiple barriers with line segments, improving previous methods and addressing more general cases, with applications in wireless sensor networks.

## Contribution

It introduces new algorithms with better time complexity for covering multiple barriers, extending previous work from single to multiple barriers and line-constrained scenarios.

## Key findings

- Achieved an $O(n^2 ext{log} n ext{log} ext{log} n + nm ext{log} m)$-time algorithm for general barrier coverage.
- Provided an $O(m ext{log} m + n ext{log} m ext{log} n)$-time algorithm for line-constrained barrier coverage.
- Improved upon previous algorithms for both single and multiple barrier cases.

## Abstract

In this paper, we consider the problems for covering multiple intervals on a line. Given a set $B$ of $m$ line segments (called "barriers") on a horizontal line $L$ and another set $S$ of $n$ horizontal line segments of the same length in the plane, we want to move all segments of $S$ to $L$ so that their union covers all barriers and the maximum movement of all segments of $S$ is minimized. Previously, an $O(n^3\log n)$-time algorithm was given for the case $m=1$. In this paper, we propose an $O(n^2\log n\log \log n+nm\log m)$-time algorithm for a more general setting with any $m\geq 1$, which also improves the previous work when $m=1$. We then consider a line-constrained version of the problem in which the segments of $S$ are all initially on the line $L$. Previously, an $O(n\log n)$-time algorithm was known for the case $m=1$. We present an algorithm of $O(m\log m+n\log m \log n)$ time for any $m\geq 1$. These problems may have applications in mobile sensor barrier coverage in wireless sensor networks.