Ellariel / ln-topology-analysis

Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network?

Journal paper

Plain

Danila Valko and Daniel Kudenko (2024). Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network? Computer Networks, vol. 243, a. 110297, https://doi.org/10.1016/j.comnet.2024.110297

BibTeX

@article{Valko2024,
   author = {Danila Valko and Daniel Kudenko},
   doi = {10.1016/j.comnet.2024.110297},
   issn = {13891286},
   journal = {Computer Networks},
   month = {4},
   pages = {110297},
   title = {Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network?},
   volume = {243},
   url = {https://linkinghub.elsevier.com/retrieve/pii/S1389128624001294},
   year = {2024},
}

Sources and References

• Experiments were run on a snapshot of the Lightning Network obtained from (Decker, 2020).
• The Lightning Network pathfinding algorithms were implemented based on the cost functions description from (Andreescu, Roos & Ersoy, 2021) and (Kumble & Roos, 2021).