Simple strategies versus optimal schedules in multi-agent patrolling
Akitoshi Kawamura, Makoto Soejima

TL;DR
This paper compares simple and optimal patrolling strategies for multi-agent systems, showing simple strategies are close to optimal with ratios of 4/3 and 21/20, and introduces a new variant with related complexity results.
Contribution
The paper constructs schedules that outperform simple strategies by specific ratios and introduces a new patrolling variant with NP-hardness results.
Findings
Constructed schedules outperform simple strategies by 4/3 and 21/20 ratios.
Proposed a new patrolling variant with similar ratio bounds.
Established NP-hardness for the new patrolling problem.
Abstract
Suppose that a set of mobile agents, each with a predefined maximum speed, want to patrol a fence together so as to minimize the longest time interval during which a point on the fence is left unvisited. In 2011, Czyzowicz, G\k{a}sieniec, Kosowski and Kranakis studied this problem for the settings where the fence is an interval (a line segment) and a circle, and conjectured that the following simple strategies are always optimal: for Interval Patrolling, the simple strategy partitions the fence into subintervals, one for each agent, and lets each agent move back and forth in the assigned subinterval with its maximum speed; for Circle Patrolling, the simple strategy is to choose a number r, place the r fastest agents equidistantly around the circle, and move them at the speed of the rth agent. Surprisingly, these conjectures were then proved false: schedules were found (for some settings…
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