Approximation Algorithms for Anchored Multiwatchman Routes

We study some variants of the k-Watchman Routes problem, the cooperative version of the classic Watchman Route problem in a simple polygon. The k watchmen may be required to see the whole polygon, or some pre-determined quota of area within the polygon, and we want to minimize the maximum length traveled by any watchman. While the single-watchman (k = 1$ version of the problem has received considerable attention and is relatively well understood, much less is known about the multiple watchmen (k >1) variant(s). We provide the first tight approximability results for the anchored k-Watchman Routes problem in a simple polygon, assuming k is fixed, by a fully-polynomial time approximation scheme. The basis for the FPTAS is provided by an exact dynamic programming algorithm. If k varies (i.e., it is part of the input), we give constant-factor approximations.

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Publication Details

Journal
Computing in Geometry and Topology
Published
2024-08-30
DOI
https://doi.org/10.57717/cgt.v4i1.71
Primary Topic
Misinformation and Its Impacts
Type
article
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article

Approximation Algorithms for Anchored Multiwatchman Routes

Computing in Geometry and Topology
Misinformation and Its Impacts
article

Approximation Algorithms for Anchored Multiwatchman Routes

article en

Abstract

We study some variants of the k-Watchman Routes problem, the cooperative version of the classic Watchman Route problem in a simple polygon. The k watchmen may be required to see the whole polygon, or some pre-determined quota of area within the polygon, and we want to minimize the maximum length traveled by any watchman. While the single-watchman (k = 1$ version of the problem has received considerable attention and is relatively well understood, much less is known about the multiple watchmen (k >1) variant(s). We provide the first tight approximability results for the anchored k-Watchman Routes problem in a simple polygon, assuming k is fixed, by a fully-polynomial time approximation scheme. The basis for the FPTAS is provided by an exact dynamic programming algorithm. If k varies (i.e., it is part of the input), we give constant-factor approximations.

Computing in Geometry and Topology
Stony Brook University (US)
Openalex Percentile: Top 37%
Misinformation and Its Impacts
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