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Coalition based Game-Theoretic Routing Technique for Delay Tolerant Networks with Cost and Congestion Optimization

Authors

  • Shyamala G Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India Author
  • Pallavi GB Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India Author
  • Latha NR Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India. Author
  • Rajesh IS Associate Professor, Dept. of AI & ML, BMSIT&M, Bengaluru, India Author
  • Sumit Gupta Research Head, R&D Department, DeepCognix AI Labs, Bangalore, Karnataka, India Author

DOI:

https://doi.org/10.5281/zenodo.19513313

Keywords:

Delay Tolerant Networks, Congestion Control, Game Theory, Network Performance, Wireless Communication

Abstract

Delay Tolerant Networks (DTNs) routing is a difficult but very important task, mostly because of the intermittent connection with the network as well as the necessity to effectively schedule the data packets and choose the best transmission path. These problems are also aggravated by the frequent network cut-offs. This paper is aimed at solving these problems by suggesting a new communication approach which is coalition building between network nodes. In this work, utility functions are developed that reflect three important elements of the performance of DTN capacity, cost, and congestion. Cost-based utility model uses a variety of parameters such as the connectivity status, availability of the gateway, distance of transmission and overloading of the node. To further improve the efficiency of routing, we propose a stochastic game-theoretic model which allows making adaptive and intelligent decisions when forwarding packets. Also, a congestion control scheme is formulated, with a special utility function in a game-theoretic model. Experiments show that the suggested method is a lot more efficient than the current routing protocols. In particular, the approach attains an average overhead of 52, as compared with 77 in the case of Plague, 66.5 in the case of PROPHET and 60.75 in the case of Schedule-PROPHET, which shows that the network efficiency has been significantly improved.

Author Biographies

  • Shyamala G, Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India

    Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India

  • Pallavi GB, Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India

    Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India

  • Latha NR, Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India.

    Associate Professor, Department of CSE, BMS College of Engineering, Bengaluru, India.

  • Rajesh IS, Associate Professor, Dept. of AI & ML, BMSIT&M, Bengaluru, India

    Associate Professor, Dept. of AI & ML, BMSIT&M, Bengaluru, India

  • Sumit Gupta, Research Head, R&D Department, DeepCognix AI Labs, Bangalore, Karnataka, India

    Research Head, R&D Department, DeepCognix AI Labs, Bangalore, Karnataka, India

References

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Published

26-03-2026 — Updated on 05-05-2026

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Data Availability Statement

Data availability is not applicable to this paper as no new data were created or analyzed in this study.

How to Cite

[1]
Shyamala G, Pallavi GB, Latha NR, Rajesh IS, and Sumit Gupta, “Coalition based Game-Theoretic Routing Technique for Delay Tolerant Networks with Cost and Congestion Optimization”, IJCIE, vol. 1, no. 1, pp. 16–28, May 2026, doi: 10.5281/zenodo.19513313.

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