Optimal Strategies for Patrolling Fences

Authors Bernhard Haeupler, Fabian Kuhn, Anders Martinsson, Kalina Petrova, Pascal Pfister



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Bernhard Haeupler
  • Carnegie Mellon University, Pittsburgh, PA, USA
Fabian Kuhn
  • University of Freiburg, Germany
Anders Martinsson
  • ETH Zurich, Switzerland
Kalina Petrova
  • ETH Zurich, Switzerland
Pascal Pfister
  • ETH Zurich, Switzerland

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Bernhard Haeupler, Fabian Kuhn, Anders Martinsson, Kalina Petrova, and Pascal Pfister. Optimal Strategies for Patrolling Fences. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 132, pp. 144:1-144:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.ICALP.2019.144

Abstract

A classical multi-agent fence patrolling problem asks: What is the maximum length L of a line fence that k agents with maximum speeds v_1,..., v_k can patrol if each point on the line needs to be visited at least once every unit of time. It is easy to see that L = alpha sum_{i=1}^k v_i for some efficiency alpha in [1/2,1). After a series of works [Czyzowicz et al., 2011; Dumitrescu et al., 2014; Kawamura and Kobayashi, 2015; Kawamura and Soejima, 2015] giving better and better efficiencies, it was conjectured by Kawamura and Soejima [Kawamura and Soejima, 2015] that the best possible efficiency approaches 2/3. No upper bounds on the efficiency below 1 were known. 
We prove the first such upper bounds and tightly bound the optimal efficiency in terms of the minimum speed ratio s = {v_{max}}/{v_{min}} and the number of agents k. Our bounds of alpha <= 1/{1 + 1/s} and alpha <= 1 - 1/(sqrt{k)+1} imply that in order to achieve efficiency 1 - epsilon, at least k >= Omega(epsilon^{-2}) agents with a speed ratio of s >= Omega(epsilon^{-1}) are necessary. Guided by our upper bounds, we construct a scheme whose efficiency approaches 1, disproving the conjecture stated above. Our scheme asymptotically matches our upper bounds in terms of the maximal speed difference and the number of agents used.
A variation of the fence patrolling problem considers a circular fence instead and asks for its circumference to be maximized. We consider the unidirectional case of this variation, where all agents are only allowed to move in one direction, say clockwise. At first, a strategy yielding L = max_{r in [k]} r * v_r where v_1 >= v_2 >= ... >= v_k was conjectured to be optimal by Czyzowicz et al. [Czyzowicz et al., 2011] This was proven not to be the case by giving constructions for only specific numbers of agents with marginal improvements of L. We give a general construction that yields L = 1/{33 log_e log_2(k)} sum_{i=1}^k v_i for any set of agents, which in particular for the case 1, 1/2, ..., 1/k diverges as k - > infty, thus resolving a conjecture by Kawamura and Soejima [Kawamura and Soejima, 2015] affirmatively.

Subject Classification

ACM Subject Classification
  • Networks → Network algorithms
  • Theory of computation → Distributed algorithms
Keywords
  • multi-agent systems
  • patrolling algorithms

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References

  1. Yann Chevaleyre. Theoretical analysis of the multi-agent patrolling problem. In Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004)., pages 302-308, 2004. URL: http://dx.doi.org/10.1109/IAT.2004.1342959.
  2. Andrew Collins, Jurek Czyzowicz, Leszek Gasieniec, Adrian Kosowski, Evangelos Kranakis, Danny Krizanc, Russell Martin, and Oscar Morales Ponce. Optimal patrolling of fragmented boundaries. In SPAA, pages 241-250. ACM, 2013. Google Scholar
  3. Jurek Czyzowicz, Leszek Gąsieniec, Adrian Kosowski, and Evangelos Kranakis. Boundary patrolling by mobile agents with distinct maximal speeds. In European Symposium on Algorithms, pages 701-712. Springer, 2011. Google Scholar
  4. Jurek Czyzowicz, Leszek Gasieniec, Adrian Kosowski, Evangelos Kranakis, Danny Krizanc, and Najmeh Taleb. When Patrolmen Become Corrupted: Monitoring a Graph Using Faulty Mobile Robots. Algorithmica, 79(3):925-940, 2017. URL: http://dx.doi.org/10.1007/s00453-016-0233-9.
  5. Jurek Czyzowicz, Konstantinos Georgiou, Evangelos Kranakis, Fraser MacQuarrie, and Dominik Pajak. Distributed Patrolling with Two-Speed Robots (and an Application to Transportation). In Begoña Vitoriano and Greg H. Parlier, editors, Operations Research and Enterprise Systems, pages 71-95, Cham, 2017. Springer International Publishing. Google Scholar
  6. Jurek Czyzowicz, Adrian Kosowski, Evangelos Kranakis, and Najmeh Taleb. Patrolling Trees with Mobile Robots. In Frédéric Cuppens, Lingyu Wang, Nora Cuppens-Boulahia, Nadia Tawbi, and Joaquin Garcia-Alfaro, editors, Foundations and Practice of Security, pages 331-344, Cham, 2017. Springer International Publishing. Google Scholar
  7. Jurek Czyzowicz, Evangelos Kranakis, Dominik Pajak, and Najmeh Taleb. Patrolling by Robots Equipped with Visibility. In Magnús M. Halldórsson, editor, Structural Information and Communication Complexity, pages 224-234, Cham, 2014. Springer International Publishing. Google Scholar
  8. Adrian Dumitrescu, Anirban Ghosh, and Csaba D Tóth. On Fence Patrolling by Mobile Agents. The Electronic Journal of Combinatorics, 21(3):P3-4, 2014. Google Scholar
  9. Akitoshi Kawamura and Yusuke Kobayashi. Fence patrolling by mobile agents with distinct speeds. Distributed Computing, 28(2):147-154, 2015. Google Scholar
  10. Akitoshi Kawamura and Makoto Soejima. Simple strategies versus optimal schedules in multi-agent patrolling. In International Conference on Algorithms and Complexity, pages 261-273. Springer, 2015. Google Scholar
  11. Aydano Machado, Geber Ramalho, Jean-Daniel Zucker, and Alexis Drogoul. Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures. In Jaime Simão Sichman, Françcois Bousquet, and Paul Davidsson, editors, Multi-Agent-Based Simulation II, pages 155-170, Berlin, Heidelberg, 2003. Springer Berlin Heidelberg. Google Scholar
  12. David Portugal and Rui Rocha. A Survey on Multi-robot Patrolling Algorithms. In Luis M. Camarinha-Matos, editor, Technological Innovation for Sustainability, pages 139-146, Berlin, Heidelberg, 2011. Springer Berlin Heidelberg. Google Scholar
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