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Game Theory-Based Efficient Message Forwarding Scheme for Opportunistic Networks

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Advanced Information Networking and Applications (AINA 2024)

Abstract

In order to efficiently transmit data packets, this paper proposes a method known as GT-EMFT for game-theoretic efficient message forwarding in opportunistic networks. In this protocol, the optimal approach for choosing the next hop depends on a cooperative game between two players which frame the game by taking into account the context information, channel interference, meeting likelihood, and successful delivery of the related node from the destination. Using the Opportunistic Network Environment Simulator, simulation results demonstrate that the proposed protocol GT-EMFT outperforms the benchmark protocols Epidemic and GTEER in terms of average latency, delivery ratio, and average residual energy.

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References

  1. Wei, K., Liang, X., Xu, K.: A survey of social-aware routing protocols in delay tolerant networks: applications, taxonomy and design-related issues. IEEE Commun. Surv. Tutorials 16(1), 556–578 (2013)

    Google Scholar 

  2. Spyropoulos, T., Psounis, K., Raghavendra, C.S.: Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In: Proceedings of the 2005 ACM SIGCOMM Workshop on Delay-Tolerant Networking, pp. 252–259 (2005)

    Google Scholar 

  3. Lindgren, A., Doria, A., Schelén, O.: Probabilistic routing in intermittently connected networks. ACM SIGMOBILE Mobile Comput. Commun. Rev. 7(3), 19–20 (2003)

    Article  Google Scholar 

  4. Akbari, Y., Tabatabaei, S.: A new method to find a high reliable route in IoT by using reinforcement learning and fuzzy logic. Wireless Pers. Commun. 112(2), 967–983 (2020)

    Article  Google Scholar 

  5. Singh, J., Dhurandher, S.K., Woungang, I.: Game theory-based energy efficient routing in opportunistic networks. In: International Conference on Advanced Information Networking and Applications, pp. 627–639 (2022)

    Google Scholar 

  6. Qin, X., Wang, X., Wang, L., Lin, Y., Wang, X.: An efficient probabilistic routing scheme based on game theory in opportunistic networks. Comput. Netw. 149, 144–153 (2019)

    Article  Google Scholar 

  7. Borah, S.J., Dhurandher, S.K., Woungang, I., Kumar, V.: A game theoretic context-based routing protocol for opportunistic networks in an IoT scenario. Comput. Netw. 129, 572–584 (2017)

    Article  Google Scholar 

  8. Deng, X., Chen, H., Cai, R., Zeng, F., Xu, G., Zhang, H.: A knowledge-based multiplayer collaborative routing in opportunistic networks. In: 2019 IEEE International Conference on Dependable, pp. 16–21. Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress (2019)

    Google Scholar 

  9. Guo, H., Wang, X., Cheng, H., Huang, M.: A routing defense mechanism using evolutionary game theory for delay tolerant networks. Appl. Soft Comput. 38, 469–476 (2016)

    Article  Google Scholar 

  10. Deshpande, S.: Cost Efficient Predictive Routing in Disruption Tolerant Networks-Doctoral Dissertation, The Ohio State University (2011)

    Google Scholar 

  11. Shrivastav, V., Dhurandher, S.K., Woungang, I., Kumar, V., Rodrigues, J.J.: Game theory-based channel allocation in cognitive radio networks. In: 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1–5 (2016)

    Google Scholar 

  12. Dhurandher, S.K., Borah, S.J., Woungang, I., Bansal, A., Gupta, A.: A location prediction-based routing scheme for opportunistic networks in an IoT scenario. J. Parallel Distrib. Comput. 118, 369–378 (2018)

    Article  Google Scholar 

  13. Dhurandher, S.K., Sharma, D.K., Woungang, I., Saini, A.: Efficient routing based on past information to predict the future location for message passing in infrastructure-less opportunistic networks. J. Supercomput. 71, 1694–1711 (2015)

    Article  Google Scholar 

  14. Kumar, V., Dhurandher, S.K., Woungang, I., Gupta, S., Singh, S.: Channel allocation in cognitive radio networks: a game-theoretic approach. In: International Conference on Network-Based Information Systems, pp. 182–192 (2022)

    Google Scholar 

  15. Nash, J.: Non-cooperative games. Ann. Math. 54, 286–295 (1951)

    Article  MathSciNet  Google Scholar 

  16. Wu, F., Chen, T., Zhong, S., Qiao, C., Chen, G.: A game-theoretic approach to stimulate cooperation for probabilistic routing in opportunistic networks. IEEE Trans. Wireless Commun. 12(4), 1573–1583 (2013)

    Article  Google Scholar 

  17. Dede, J., et al.: Simulating opportunistic networks: survey and future directions. IEEE Commun. Surv. Tutorials 20(2), 1547–1573 (2017)

    Article  Google Scholar 

  18. Singh, J., Dhurandher, S.K., Woungang, I.: Game theory-based energy efficient routing in opportunistic networks. In: International Conference on Advanced Information Networking and Applications, pp. 627–639 (2022)

    Google Scholar 

  19. Keränen, A., Ott, J., Kärkkäinen, T.: The ONE simulator for DTN protocol evaluation. In: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, pp. 1–10 (2009)

    Google Scholar 

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Correspondence to Jagdeep Singh .

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Kumar, V., Singh, J., Dhurandher, S.K., Woungang, I. (2024). Game Theory-Based Efficient Message Forwarding Scheme for Opportunistic Networks. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-031-57840-3_1

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