An Efficient Bitcoin Network Topology Discovery Algorithm for Dynamic Display

Authors

  • Shruti Shetti PG – Master of Computer Applications, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. Author
  • Sinchana Dsa PG – Master of Computer Applications, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. Author
  • Manjunath Mudda Manjunath Mudda Author

DOI:

https://doi.org/10.47392/IRJASH.2025.082

Keywords:

Block chain, Network topology discovery Bitcoin Stability coefficient Dynamic updates

Abstract

The Bitcoin network is made up of a huge number of nodes, which makes it difficult and time-consuming for users to figure out how everything is connected. To make this easier, we’ve come up with a new algorithm that uses lightweight “probe” nodes to quickly gather information about the network. On top of that, we’ve built a clustering system that groups stable nodes together, so we can map out the network faster and more efficiently. We’ve also created a flexible, real-time visualization tool that shows how the network is structured in layers. Our tests show that this approach cuts down communication overhead by about 72%, while still maintaining 95% accuracy in mapping the network. Even better, the same method can be used for other blockchain networks with similar setups.

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Published

2025-08-26