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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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