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A game-theoretic approach to optimize ad hoc networks inspired by small-world network topology

Author

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  • Tan, Mian
  • Yang, Tinghong
  • Chen, Xing
  • Yang, Gang
  • Zhu, Guoqing
  • Holme, Petter
  • Zhao, Jing

Abstract

Nodes in ad hoc networks are connected in a self-organized manner. Limited communication radius makes information transmit in multi-hop mode, and each forwarding needs to consume the energy of nodes. Insufficient communication radius or exhaustion of energy may cause the absence of some relay nodes and links, further breaking network connectivity. On the other hand, nodes in the network may refuse to cooperate due to objective faulty or personal selfish, hindering regular communication in the network. This paper proposes a model called Repeated Game in Small World Networks (RGSWN). In this model, we first construct ad hoc networks with small-world feature by forming “communication shortcuts” between multiple-radio nodes. Small characteristic path length reduces average forwarding times in networks; meanwhile high clustering coefficient enhances network robustness. Such networks still maintain relative low global power consumption, which is beneficial to extend the network survival time. Then we use MTTFT strategy (Mend-Tolerance Tit-for-Tat) for repeated game as a rule for the interactions between neighbors in the small-world networks. Compared with other five strategies of repeated game, this strategy not only punishes the nodes’ selfishness more reasonably, but also has the best tolerance to the network failure. This work is insightful for designing an efficient and robust ad hoc network.

Suggested Citation

  • Tan, Mian & Yang, Tinghong & Chen, Xing & Yang, Gang & Zhu, Guoqing & Holme, Petter & Zhao, Jing, 2018. "A game-theoretic approach to optimize ad hoc networks inspired by small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 129-139.
    • Handle: RePEc:eee:phsmap:v:494:y:2018:i:c:p:129-139
    DOI: 10.1016/j.physa.2017.12.032
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    References listed on IDEAS

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    1. P. Holme & B. J. Kim & V. Fodor, 2010. "Heterogeneous attachment strategies optimize the topology of dynamic wireless networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(4), pages 597-604, February.
    2. Nicolas Langer & Andreas Pedroni & Lutz Jäncke, 2013. "The Problem of Thresholding in Small-World Network Analysis," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-9, January.
    3. Eun Lee & Petter Holme, 2016. "Impact of mobility structure on optimization of small-world networks of mobile agents," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(6), pages 1-8, June.
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    Cited by:

    1. Wang, Shuliang & Sun, Jingya & Zhang, Jianhua & Dong, Qiqi & Gu, Xifeng & Chen, Chen, 2023. "Attack-Defense game analysis of critical infrastructure network based on Cournot model with fixed operating nodes," International Journal of Critical Infrastructure Protection, Elsevier, vol. 40(C).
    2. Sun, Chengbin & Luo, Chao, 2020. "Co-evolution of influence-based preferential selection and limited resource with multi-games on interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    3. Shu, Feng & Liu, Yaojun & Liu, Xingwen & Zhou, Xiaobing, 2019. "Memory-based conformity enhances cooperation in social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 480-490.

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