Boosting Payment Channel Network Liquidity with Topology Optimization and Transaction Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00390071" target="_blank" >RIV/68407700:21240/25:00390071 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.4230/LIPIcs.DISC.2025.23" target="_blank" >https://doi.org/10.4230/LIPIcs.DISC.2025.23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4230/LIPIcs.DISC.2025.23" target="_blank" >10.4230/LIPIcs.DISC.2025.23</a>
Alternative languages
Result language
angličtina
Original language name
Boosting Payment Channel Network Liquidity with Topology Optimization and Transaction Selection
Original language description
Payment channel networks (PCNs) are a promising technology that alleviates blockchain scalability by shifting the transaction load from the blockchain to the PCN. Nevertheless, the network topology has to be carefully designed to maximise the transaction throughput in PCNs. Additionally, users in PCNs also have to make optimal decisions on which transactions to forward and which to reject to prolong the lifetime of their channels. In this work, we consider an input sequence of transactions over parties. Each transaction consists of a transaction size, source, and target, and can be either accepted or rejected (entailing a cost). The goal is to design a PCN topology among the cooperating parties, along with the channel capacities, and then output a decision for each transaction in the sequence to minimise the cost of creating and augmenting channels, as well as the cost of rejecting transactions. Our main contribution is an approximation algorithm for the problem with parties. We further show that with some assumptions on the distribution of transactions, we can reduce the approximation ratio to . We complement our theoretical analysis with an empirical study of our assumptions and approach in the context of the Lightning Network.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
39th International Symposium on Distributed Computing (DISC 2025)
ISBN
978-3-95977-402-4
ISSN
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e-ISSN
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Number of pages
22
Pages from-to
"23:1"-"23:22"
Publisher name
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Place of publication
Dagstuhl
Event location
Ihnestr. 16-20 - 14195 Berlin
Event date
Oct 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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