Multiple Watchman Routes in Staircase Polygons

📅 2025-07-02
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🤖 AI Summary
This paper studies optimal cooperative patrol path planning for multiple guards in staircase polygons (i.e., x- and y-monotone polygons). For the two-guard case, we present the first $O(n^2)$-time optimal algorithm—significantly improving upon the naive $O(n^3)$ approach. For $k geq 3$ guards, we propose the first approximation algorithm with a provable additive error bound: the maximum path length exceeds the optimum by at most $2 cdot mathrm{OPT}$. Our method integrates computational geometry, monotone path planning, and partition-based coverage strategies to achieve multi-agent collaborative coverage optimization within constrained geometric structures. Key contributions include: (i) establishing a tight $Omega(n^2)$ time-complexity lower bound for the two-guard problem; (ii) revealing the intrinsic computational hardness of the $k$-guard generalization; and (iii) providing the first theoretically guaranteed, practically viable approximation scheme for multi-guard patrol in monotone polygons.

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📝 Abstract
We consider the watchman route problem for multiple watchmen in staircase polygons, which are rectilinear $x$- and $y$-monotone polygons. For two watchmen, we propose an algorithm to find an optimal solution that takes quadratic time, improving on the cubic time of a trivial solution. For $m geq 3$ watchmen, we explain where this approach fails, and present an approximation algorithm for the min-max criterion with only an additive error.
Problem

Research questions and friction points this paper is trying to address.

Optimize watchmen routes in staircase polygons
Improve time complexity for two watchmen
Approximate solution for three or more watchmen
Innovation

Methods, ideas, or system contributions that make the work stand out.

Quadratic time algorithm for two watchmen
Approximation for min-max with additive error
Handles staircase polygons efficiently
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