Enhancing Blockchain Communication with Named Data Networking: A Novel Node Model and Information Transmission Mechanism

Rahul Azmeera; Chaitanya Tumma; Bala Yashwanth Reddy Thumma; Supraja Ayyamgari

Authors

Rahul Azmeera Information Technology, University of the Cumberlands, Williamsburg, KY, USA. Author
Chaitanya Tumma Information Technology, University of the Cumberlands, Williamsburg, KY, USA. Author
Bala Yashwanth Reddy Thumma Information Technology, University of the Cumberlands, Williamsburg, KY, USA. Author
Supraja Ayyamgari Information Technology, University of the Cumberlands, Williamsburg, KY, USA. Author

Keywords:

Blockchain, Deep Reinforcement Learning (DRL), Data Transmission Optimization, Network Resource Utilization, Adaptive Request Aggregation, Dynamic Cache Management

Abstract

In recent years, blockchain research has garnered significant attention. However, the traditional TCP/IP-based communication model struggles to support the broadcasting mode required for efficiently transmitting large volumes of data. Deep Reinforcement Learning (DRL) techniques have been employed to optimize blockchain data transmission and network resource utilization to address these limitations. A novel framework is introduced, leveraging DRL to enhance network performance by intelligently managing node operations and resource allocation. Key components of the system include adaptive request aggregation, dynamic cache management, and efficient routing strategies, all optimized through DRL-based decision-making. This approach significantly reduces redundant traffic, accelerates communication, and improves overall network efficiency. Furthermore, a virtual currency application is implemented as an example to demonstrate the practical benefits of this framework. Simulation results showcase the superior performance of the proposed DRL-driven mechanism compared to conventional models, particularly in terms of scalability and data propagation efficiency. Future research directions are discussed, emphasizing the integration of DRL with advanced blockchain technologies to overcome emerging challenges and support next-generation decentralized systems.

References

Nakamoto, S. Bitcoin: A Peer-to-Peer Electronic Cash System. 2008.

Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352–375.

Xu, X., Weber, I., & Staples, M. (2019). Architecture for Blockchain Applications: A Decentralized Way to Digital Economy. Springer.

Lin, I. C., & Liao, T. C. (2017). A Survey of Blockchain Security Issues and Challenges. International Journal of Network Security, 19(5), 653-659.

Tapscott, D., & Tapscott, A. (2018). Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. Portfolio Penguin.

Jiang, L., Zhang, Y., & Bai, C. (2020). Information-centric networking: Advances and applications. IEEE Internet of Things Journal, 7(10), 9494–9511.

Zhang, Q., & Zhang, L. (2018). ICN Design Patterns: Challenges and Opportunities for Named Data Networking. IEEE Network, 32(2), 43–49.

Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2018). A Survey of Information-Centric Networking. Communications of the ACM, 61(2), 56–64.

Wang, Z., Li, W., Li, H., et al. (2021). Advances in Content-Centric Networking for IoT Applications. IEEE Communications Surveys & Tutorials, 24(1), 123–147.

Kasula, V. K., Konda, B., Yadulla, A. R., & Yenugula, M. (2022). Hybrid Short Comparable Encryption with Sliding Window Techniques for Enhanced Efficiency and Security. International Journal of Science and Research Archive, 2022, 05(01), 151-161.

Zyskind, G., Nathan, O., & Pentland, A. (2015). Decentralizing Privacy: Using Blockchain to Protect Personal Data. Proceedings of IEEE Security and Privacy Workshops.

Banerjee, M., Lee, J., & Choo, K. K. R. (2018). A blockchain future for Internet of Things security: A position paper. Digital Communications and Networks, 4(3), 149–160.