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International Workshop on Conflict Resolution in Decision Making

COREDEMA 2016: Conflict Resolution in Decision Making pp 51–65Cite as

Nonlinear Negotiation Approaches for Complex-Network Optimization: A Study Inspired by Wi-Fi Channel Assignment

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10238))

Abstract

In this paper, we study a problem family inspired by a prominent network optimization problem (graph coloring), enriched and extended towards a real-world application (Wi-Fi channel assignment). We propose a utility model based on this scenario, and we generate an extensive set of test cases, against which we run both a complete information optimizer and two nonlinear negotiation approaches –a hill-climber and an approach based on simulated annealing (SA). We show that, for the larger-scale scenarios, the SA negotiation approach significantly outperforms the optimizer while running in roughly one tenth of the computation time. Also, we point out interesting patterns regarding the relative performance of the two approaches depending on the properties of the underlying graphs.

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References

  1. Bazzi, A.: On uncoordinated multi user multi RAT combining. In: Vehicular Technology Conference (VTC Fall), pp. 1–6. IEEE, 5–8 September 2011

    Google Scholar 

  2. Aardal, K.I., Van Hoesel, S.P., Koster, A.M., Mannino, C., Sassano, A.: Models and solution techniques for frequency assignment problems. Ann. Oper. Res. 153(1), 79–129 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  3. Abusubaih, M., Gross, J., Wolisz, A.: An inter-access point coordination protocol for dynamic channel selection in IEEE 802.11 wireless LANs. In: 2007 1st IEEE Workshop on Autonomic Communications and Network Management (ACNM 2007) (2007)

    Google Scholar 

  4. Bodlaender, H.L., Kloks, T., Tan, R.B., van Leeuwen, J.: \(\lambda \)-coloring of graphs. In: Reichel, H., Tison, S. (eds.) STACS 2000. LNCS, vol. 1770, pp. 395–406. Springer, Heidelberg (2000). doi:10.1007/3-540-46541-3_33

    Chapter  Google Scholar 

  5. Chieochan, S., Hossain, E., Diamond, J.: Channel assignment schemes for infrastructure-based 802.11 WLANs: A survey. IEEE Commun. Surv. Tutorials 12(1), 124–136 (2010)

    Article  Google Scholar 

  6. De Jonge, D., Sierra, C.: NB\(^3\): A multilateral negotiation algorithm for large, non-linear agreement spaces with limited time. Auton. Agent. Multi-Agent Syst. 29(5), 896–942 (2015)

    Article  Google Scholar 

  7. Tragos, E.Z., Zeadally, S., Fragkiadakis, A.G., Siris, V.A.: Spectrum assignment in cognitive radio networks: A comprehensive survey. IEEE Commun. Surv. Tutorials 15(3), 1108–1135 (2013). Third Quarter

    Article  Google Scholar 

  8. Fatima, S.S., Wooldridge, M., Jennings, N.R.: Optimal negotiation strategies for agents with incomplete information. In: Meyer, J.-J.C., Tambe, M. (eds.) ATAL 2001. LNCS (LNAI), vol. 2333, pp. 377–392. Springer, Heidelberg (2002). doi:10.1007/3-540-45448-9_28

    Chapter  Google Scholar 

  9. Fatima, S., Kraus, S., Wooldridge, M.: Principles of Automated Negotiation. Cambridge University Press, Cambridge (2014)

    Book  Google Scholar 

  10. Geier, J.: How to: Define Minimum SNR Values for Signal Coverage. http://www.wireless-nets.com/resources/tutorials/define_SNR_values.html

  11. Green, D.B., Obaidat, A.S.: An accurate line of sight propagation performance model for ad-hoc 802.11 wireless LAN (WLAN) devices. In: 2002 IEEE International Conference on Communications, ICC 2002, vol. 5, pp. 3424–3428 (2002)

    Google Scholar 

  12. Griggs, J.R., et al.: Graph labellings with variable weights, a survey. Discrete Appl. Math. 157(12), 2646–2658 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  13. Grubshtein, A., Meisels, A.: A distributed cooperative approach for optimizing a family of network games. In: Brazier, F.M.T., Nieuwenhuis, K., Pavlin, G., Warnier, M., Badica, C. (eds.) Proceedings of the 5th International Symposium on Intelligent Distributed Computing-IDC 2011. Intelligent Distributed Computing V, vol. 382, pp. 49–62. Springer, Heidelberg (2012)

    Google Scholar 

  14. Hattori, H., Klein, M., Ito, T.: Using iterative narrowing to enable multi-party negotiations with multiple interdependent issues. In: Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2007, pp. 247:1–247:3. ACM, New York (2007)

    Google Scholar 

  15. de la Hoz, E., Gimenez-Guzman, J.M., Marsa-Maestre, I., Orden, D.: Automated negotiation for resource assignment in wireless surveillance sensor networks. Sensors 15(11), 29547–29568 (2015)

    Article  Google Scholar 

  16. Jansen, P., Perez, R.: Constrained structural design optimization via a parallel augmented lagrangian particle swarm optimization approach. Comput. Struct. 89(13–14), 1352–1366 (2011)

    Article  Google Scholar 

  17. Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J.P., Moreno, Y., Porter, M.A.: Multilayer networks. J. Complex Netw. 2(3), 203–271 (2014)

    Article  Google Scholar 

  18. Klein, M., Faratin, P., Sayama, H., Bar-Yam, Y.: Negotiating complex contracts. Group Decis. Negot. 12(2), 111–125 (2003)

    Article  MATH  Google Scholar 

  19. Koschützki, D., Lehmann, K.A., Peeters, L., Richter, S., Tenfelde-Podehl, D., Zlotowski, O.: Centrality indices. In: Brandes, U., Erlebach, T. (eds.) Network Analysis. LNCS, vol. 3418, pp. 16–61. Springer, Heidelberg (2005). doi:10.1007/978-3-540-31955-9_3

    Chapter  Google Scholar 

  20. Lang, F., Fink, A.: Learning from the metaheuristics: Protocols for automated negotiations. Group Decis. Negot. 24(2), 299–332 (2015)

    Article  Google Scholar 

  21. Malaguti, E., Toth, P.: A survey on vertex coloring problems. Int. Trans. Oper. Res. 17(1), 1–34 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  22. Marsa-Maestre, I., Lopez-Carmona, M.A., Velasco, J.R., Ito, T., Klein, M., Fujita, K.: Balancing utility and deal probability for auction-based negotiations in highly nonlinear utility spaces. In: Proceedings of the 21st International Joint Conference on Artifical Intelligence, pp. 214–219. Morgan Kaufmann Publishers Inc., San Francisco (2009)

    Google Scholar 

  23. McDiarmid, C., Reed, B.: Channel assignment and weighted coloring. Networks 36(2), 114–117 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  24. Mishra, A., Banerjee, S., Arbaugh, W.: Weighted coloring based channel assignment for WLANs. ACM SIGMOBILE Mob. Comput. Commun. Rev. 9(3), 19–31 (2005)

    Article  Google Scholar 

  25. Mishra, A., Brik, V., Banerjee, S., Srinivasan, A., Arbaugh, W.A.: A client-driven approach for channel management in wireless LANs. In: INFOCOM (2006)

    Google Scholar 

  26. Myerson, R.B., Satterthwaite, M.A.: Efficient mechanisms for bilateral trading. J. Econ. Theory 29(2), 265–281 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  27. Narayanan, L.: Channel assignment and graph multicoloring. In: Handbook of Wireless Networks and Mobile Computing, vol. 8, pp. 71–94 (2002)

    Google Scholar 

  28. Newman, M.: Networks: An Introduction. Oxford University Press, Oxford (2010)

    Book  MATH  Google Scholar 

  29. Ng, S.W.K., Szymanski, T.H.: Interference measurements in an 802.11n wireless mesh network testbed. In: 25th IEEE Canadian Conference on Electrical Computer Engineering (CCECE), pp. 1–6, April 2012

    Google Scholar 

  30. Pelikan, M., Sastry, K., Goldberg, D.E.: Multiobjective estimation of distribution algorithms. In: Pelikan, M., Pelikan, K., CantúPaz, E. (eds.) Scalable Optimization via Probabilistic Modeling, vol. 33, pp. 223–248. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  31. Ren, F., Zhang, M., Sim, K.M.: Adaptive conceding strategies for automated trading agents in dynamic, open markets. Wirel. Healthc. 46(3), 704–716 (2009)

    Google Scholar 

  32. Rubinstein, A.: Perfect equilibrium in a bargaining model. Econometrica 50(1), 97–109 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  33. Sharp, A.: Distance coloring. In: Arge, L., Hoffmann, M., Welzl, E. (eds.) ESA 2007. LNCS, vol. 4698, pp. 510–521. Springer, Heidelberg (2007). doi:10.1007/978-3-540-75520-3_46

    Chapter  Google Scholar 

  34. Sim, K.M., Shi, B.: Concurrent negotiation and coordination for grid resource coallocation. Trans. Syst. Man Cber. Part B 40(3), 753–766 (2010)

    Article  Google Scholar 

  35. Tuza, Z., Gutin, G., Plurnmer, M., Tucker, A., Burke, E., Werra, D., Kingston, J.: Colorings and related topics. In: Handbook of Graph Theory. Discrete Mathematics and its Applications, pp. 340–483. CRC Press, December 2003

    Google Scholar 

  36. Wiener, H.: Structural determination of paraffin boiling points. J. Am. Chem. Soc. 69(1), 17–20 (1947)

    Article  Google Scholar 

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Acknowledgements

This work has been supported by the Spanish Ministry of Economy and Competitiveness grants TIN2016-80622-P, TIN2014-61627-EXP, MTM2014-54207, and TEC2013-45183-R and by the University of Alcalá through CCG2015/EXP-053.

Author information

Authors and Affiliations

  1. Computer Engineering Department, University of Alcala, Alcalá de Henares, Spain

    Ivan Marsa-Maestre, Enrique de la Hoz & Jose Manuel Gimenez-Guzman

  2. Department of Physics and Mathematics, University of Alcala, Alcalá de Henares, Spain

    David Orden

  3. Center for Collective Intelligence, MIT, Cambridge, USA

    Mark Klein

Authors
  1. Ivan Marsa-Maestre
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  2. Enrique de la Hoz
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  3. Jose Manuel Gimenez-Guzman
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  4. David Orden
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  5. Mark Klein
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Corresponding author

Correspondence to Ivan Marsa-Maestre .

Editor information

Editors and Affiliations

  1. Özyeğin University, Istanbul, Turkey

    Reyhan Aydoğan

  2. Centrum Wiskunde and Informatica (CWI), Amsterdam, The Netherlands

    Tim Baarslag

  3. University of Southampton, Southampton, United Kingdom

    Enrico Gerding

  4. Interactive Intelligence, Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Catholijn M. Jonker

  5. Department of Computer Systems and Computation, Technical University of Valencia, Valencia, Spain

    Vicente Julian

  6. Coventry University, West Midlands, United Kingdom

    Victor Sanchez-Anguix

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Marsa-Maestre, I., de la Hoz, E., Gimenez-Guzman, J.M., Orden, D., Klein, M. (2017). Nonlinear Negotiation Approaches for Complex-Network Optimization: A Study Inspired by Wi-Fi Channel Assignment. In: Aydoğan, R., Baarslag, T., Gerding, E., Jonker, C., Julian, V., Sanchez-Anguix, V. (eds) Conflict Resolution in Decision Making. COREDEMA 2016. Lecture Notes in Computer Science(), vol 10238. Springer, Cham. https://doi.org/10.1007/978-3-319-57285-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-57285-7_4

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  • Print ISBN: 978-3-319-57284-0

  • Online ISBN: 978-3-319-57285-7

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