A Framework for Development of Nash Equilibrium Based Topology Design for Dynamic Communication Networks

Authors

  • Kanmani S ,Dr. Murali M ,Dr. Siddapuram ARVIND

Keywords:

Nash equilibrium, network topology optimization, game theory, dynamic networks, communication systems, distributed algorithms, network navigability

Abstract

This research presents a comprehensive framework for developing Nash equilibrium-basedtopology design strategies for dynamic communication networks. As modern communicationsystems face increasing challenges related to network efficiency, robustness, and scalability,traditional centralized approaches have shown limitations in addressing the distributed nature of contemporary networks. This study introduces a game-theoretic approach where network nodes

References

Kong, Z., Jin, Z., & Pan, C. (2024). A dynamic topology optimization method for tactical edge networks based on virtual backbone networks. Sensors, 24(17), 5489. https://doi.org/10.3390/s24175489

Wang, F., Su, K., Liang, B., Yao, J., & Bai, W. (2024). Research on multi-layer network topology optimization strategy for railway internet of things based on game theory benefits. Frontiers in Physics, 12, 1409427. https://doi.org/10.3389/fphy.2024.1409427

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Published

2024-05-15

How to Cite

Kanmani S ,Dr. Murali M ,Dr. Siddapuram ARVIND. (2024). A Framework for Development of Nash Equilibrium Based Topology Design for Dynamic Communication Networks . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2216–2234. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3276

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Section

Articles