Interference-Aware Selfish Routing in Multi-ratio Multi-channel Wireless Mesh Networks

  • Yanxiang He
  • Jun Xiao
  • N. Xiong
  • Laurence T. Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4158)


In this paper, we consider the selfish routing problem in non- cooperative wireless mesh networks where the capacity can be improved by transmitting over multiple radios simultaneously using orthogonal channels. The problem is that there are some agents who are in charge of their transmissions and each of them is selfish to minimize its own transmission cost without considering the overall performance of the network. But the embarrassment in wireless mesh networks is that the selfish agents perhaps may cause interference for the non-cooperation. We think that the game theoretic tools are helpful for the selfish agents to make feasible choices. We yield a sufficient condition of the existence of pure strategy Nash equilibrium in our Strong Transmission Game and prove it in this paper. Some simulations reveal the feasibility of our game theoretic approach.


Channel Assignment Node Pair Wireless Mesh Network Transmission Radius Pure Strategy Nash Equilibrium 
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  1. 1.
    Bruno, R., Conti, M., Gregori, E.: Mesh Networks: Commodity Mulithop Ad Hoc Networks. IEEE Communications Magazine, 123–131 (2005)Google Scholar
  2. 2.
    Chaska wireless technologies,
  3. 3.
    Alicherry, M., Bhatia, R., Li, L.E.: Joint Channel Assignment and Routing for Throughput Optimization in Multi-radio Wireless Mesh Networks. In: MOBICOM, pp. 58–72 (2005)Google Scholar
  4. 4.
    Draves, R., Padhye, J., Zill, B.: Routing in Multi-Radio, Multi-Hop Wireless Mesh Networks. In: MOBICOM, pp. 114–128 (2004)Google Scholar
  5. 5.
    Papadimitriou, C.: Algorithms, games, and the internet. In: STOC (2001)Google Scholar
  6. 6.
    IEEE 802.16-2004.: Part 16: Air Interface for Fixed Broadband Wireless Access Systems (2004)Google Scholar
  7. 7.
    Koutsoupias, E., Papadimitriou, C.H.: Worst-case Equilibria. In: Meinel, C., Tison, S. (eds.) STACS 1999. LNCS, vol. 1563, pp. 404–413. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  8. 8.
    Roughgarden, T., Tardos, É.: How Bad is Selfish Routing? J. ACM 49, 236–259 (2002)CrossRefMathSciNetGoogle Scholar
  9. 9.
    Boulogue, T., Altman, E.: Competitive Routing in Multicast. Networks 46, 22–35 (2005)CrossRefMathSciNetGoogle Scholar
  10. 10.
    Vetta, A.: Nash Equilibria in Competitive Societies, with Applications to Facility Locations, Traffic Routing and Auctions. In: FOCS (2002)Google Scholar
  11. 11.
    Goemans, M.X., Liy, L.E., Mirrokni, V.S., Thottan, M.: Market Sharing Games Applied to Content Distribution in Ad-Hoc Networks. In: MOBIHOC, pp. 55–66 (2004)Google Scholar
  12. 12.
    Wang, W., Li, X., Wang, Y.: Truthful Multicast Routing in Selfish Wireless Networks. In: MOBICOM, pp. 245–259 (2004)Google Scholar
  13. 13.
    Anderegg, L., Eidenbenz, S.: Ad hoc-VCG: A Truthful and Cost-Efficient Routing Protocol for Mobile Ad hoc Networks with Selfish Agents. In: MOBICOM, pp. 245–259 (2003)Google Scholar
  14. 14.
    Zhong, S., Li, L.E., Liu, Y.G., Yang, Y.R.: On Designing Incentive-Compatible Routing and Forwarding Protocols in Wireless Ad Hoc Networks-An Integrated Approach Using Game Theoretical and Cryptographic Techniques. In: MOBICOM, pp. 117–131 (2005)Google Scholar
  15. 15.
    Tang, J., Xue, G., Zhang, W.: Interference-Aware Topology Control and QoS Routing in Multi-Channel Wireless Mesh Networks. In: MOBIHOC, pp. 68–77 (2005)Google Scholar
  16. 16.
    Ramanathan, S., Lloyd, E.L.: Scheduling Algorithms for Multihop Radio Networks. IEEE/ACM Transactions on Networking 1, 166–177 (1993)CrossRefGoogle Scholar
  17. 17.
    Raniwala, A., Gopalan, K., Chiueh, T.-c.: Centralized Channel Assignment and Routing Algorithms for Multi-Channel Wireless Mesh Networks. ACM Mobile Computing and Communication Review 8, 50–65 (2004)CrossRefGoogle Scholar
  18. 18.
    Deng, X., Papadimitriou, C.H., Safra, S.: On the Complexity of Equilibria. In: STOC, pp. 67–71 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yanxiang He
    • 1
  • Jun Xiao
    • 1
  • N. Xiong
    • 1
    • 2
  • Laurence T. Yang
    • 3
  1. 1.College of ComputerWuhan UniversityWuhanChina
  2. 2.School of Information ScienceJapan Advanced Institute of Science and Technology (JAIST)Japan
  3. 3.Department of Computer ScienceSt. Francis Xavier UniversityAntigonishCanada

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