Skip to main content

Obnoxious Facility Game with a Bounded Service Range

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7876))

Abstract

We study the obnoxious facility game with service range on a path where each facility is undesirable and has service radius r. In this game there are a number of agents on a path. Each agent tries to be far away from all facilities, but still to be served by a facility. Namely, the distance between an agent and her nearest facility is at most r. The utility of an agent is thus defined as this distance. In a deterministic or randomized mechanism, based on the addresses reported by the selfish agents, the locations or the location distributions of facilities are determined. The aim of the mechanisms is to maximize the obnoxious social welfare, the total utilities of all agents. The objective of each agent is to maximize her own utility and she may lie if, by doing so, more benefit can be obtained. We are interested in mechanisms without money to decide the facility locations so that the obnoxious social welfare is maximized and all agents are enforced to report their true locations (strategy-proofness or group strategy-proofness).

In this paper, we give the first attempt for this game on a path to design a group strategy-proof deterministic and randomized mechanism when the service radius \(\frac12\leq r\leq 1\) by assuming that the path length is one. Depending on the value r, we provide different mechanisms with provable approximation ratios. Lower bounds on any deterministic strategy-proof mechanism are also presented.

Research was partially supported by the National Nature Science Foundation of China (No. 11271009, 11271325) and the Nature Science Foundation of Zhejiang Province (No. LQ12A01011).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alon, N., Feldman, M., Procaccia, A., Tennenholtz, M.: Strategyproof Approximation Mechanisms for Location on Networks, Computing Research Repository-CORR, abs/0907.2049 (2009)

    Google Scholar 

  2. Alon, N., Feldman, M., Procaccia, A., Tennenholtz, M.: Strategyproof Approximation of the Minimax on Networks. Mathematics of Operations Research 35, 513–526 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. Cheng, Y., Yu, W., Zhang, G.: Strategy-proof Approximation Mechanisms for an Obnoxious Facility Game on Networks. Theoretical Computer Science (2011), doi: 10.1016/j.tcs.2011.11.041

    Google Scholar 

  4. Escoffier, B., Gourvès, L., Thang, N.K., Pascual, F., Spanjaard, O.: Strategy-Proof Mechanisms for Facility Location Games with Many Facilities. In: Brafman, R. (ed.) ADT 2011. LNCS, vol. 6992, pp. 67–81. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  5. Fotakis, D., Tzamos, C.: Winner-imposing Strategyproof Mechanisms for Multiple Facility Location Games. In: Saberi, A. (ed.) WINE 2010. LNCS, vol. 6484, pp. 234–245. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Ibara, K., Nagamochi, H.: Characterizing Mechanisms in Obnoxious Facility Game. In: Lin, G. (ed.) COCOA 2012. LNCS, vol. 7402, pp. 301–311. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Han, Q., Du, D.: Moneyless Strategy-proof Mechanism on Single-sinked Policy Domain: Characerization and Applications (2012) (working paper)

    Google Scholar 

  8. Lu, P., Sun, X., Wang, Y., Zhu, Z.: Asymptotically Optimal Strategy-proof Mechanisms for Two-facility Games. In: 11th ACM Conference on Electronic Commerce, pp. 315–324. ACM, New York (2010)

    Google Scholar 

  9. Lu, P., Wang, Y., Zhou, Y.: Tighter bounds for facility games. In: Leonardi, S. (ed.) WINE 2009. LNCS, vol. 5929, pp. 137–148. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Moulin, H.: On strategy-proofness and single peakedness. Public Choice 35(4), 437–455 (1980)

    Article  Google Scholar 

  11. Procaccia, A., Tennenholtz, M.: Approximate mechanism design without money. In: 10th ACM Conference on Electronic Commerce (ACM-EC), pp. 177–186. ACM, New York (2009)

    Google Scholar 

  12. Schummer, J., Vohra, R.V.: Mechanism design without money. In: Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V. (eds.) Algorithmic Game Theory, ch. 10. Cambridge University Press (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cheng, Y., Han, Q., Yu, W., Zhang, G. (2013). Obnoxious Facility Game with a Bounded Service Range. In: Chan, TH.H., Lau, L.C., Trevisan, L. (eds) Theory and Applications of Models of Computation. TAMC 2013. Lecture Notes in Computer Science, vol 7876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38236-9_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38236-9_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38235-2

  • Online ISBN: 978-3-642-38236-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics