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Cooperation and coalitional stability in decentralized wireless networks

Author

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  • Dávid Csercsik

    (Pázmány Péter Catholic University)

  • Sándor Imre

    (Budapest University of Technology and Economics)

Abstract

In this paper we consider a wireless contextualization of the local routing protocol on scale-free networks embedded in a plane and analyze on the one hand how cooperation affects network efficiency, and on the other hand the stability of cooperation structures. Cooperation is interpreted on k-cliques as local exchange of topological information between cooperating agents. Cooperative activity of nodes in the proposed model changes the routing strategy at the level of the coalition group and consequently influences the entire routing process on the network. We show that the proposed cooperation model enhances the network performance in the sense of reduced passage time and jamming. Payoff of a certain node is defined based on its energy consumption during the routing process. We show that if the payoff of the nodes is the energy saving compared to the all-singleton case, basically coalitions are not stable, since increased activity within coalition increases costs. We introduce coalitional load balancing and net reward to enhance coalitional stability and thus the more efficient operation of the network. As in the proposed model cooperation strongly affects routing dynamics of the network, externalities will arise and the game is defined in a partition function form.

Suggested Citation

  • Dávid Csercsik & Sándor Imre, 2017. "Cooperation and coalitional stability in decentralized wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(4), pages 571-584, April.
  • Handle: RePEc:spr:telsys:v:64:y:2017:i:4:d:10.1007_s11235-016-0193-z
    DOI: 10.1007/s11235-016-0193-z
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    1. Johari, Ramesh & Mannor, Shie & Tsitsiklis, John N., 2006. "A contract-based model for directed network formation," Games and Economic Behavior, Elsevier, vol. 56(2), pages 201-224, August.
    2. Parkash Chander & Henry Tulkens, 2006. "The Core of an Economy with Multilateral Environmental Externalities," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 153-175, Springer.
    3. Dávid Csercsik & Balázs Sziklai, 2015. "Traffic routing oligopoly," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(4), pages 743-762, December.
    4. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    5. László Kóczy, 2007. "A recursive core for partition function form games," Theory and Decision, Springer, vol. 63(1), pages 41-51, August.
    6. Tadić, Bosiljka & Rodgers, G.J., 2010. "Modelling conflicts with cluster dynamics in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5495-5502.
    7. R. D'Hulst & G. J. Rodgers, 2000. "Exact Solution Of A Model For Crowding And Information Transmission In Financial Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 609-616.
    8. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    9. Bosiljka Tadić & G. J. Rodgers, 2002. "Packet Transport On Scale-Free Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 445-456.
    10. C.-Y. Yin & B.-H. Wang & W.-X. Wang & G. Yan & H.-J. Yang, 2006. "Traffic dynamics based on an efficient routing strategy on scale free networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 49(2), pages 205-211, January.
    11. Tadić, Bosiljka & Thurner, Stefan, 2004. "Information super-diffusion on structured networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 332(C), pages 566-584.
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