Wiser: Increasing Throughput in Payment Channel Networks with Transaction Aggregation
Samarth Tiwari, Michelle Yeo, Zeta Avarikioti, Iosif Salem, Krzysztof, Pietrzak, Stefan Schmid

TL;DR
Wiser introduces transaction aggregation in payment channel networks to increase throughput, reduce fees, and enhance privacy by executing multiple transactions simultaneously, inspired by financial netting techniques.
Contribution
The paper formulates transaction aggregation as a generalized Bank Clearing Problem, proposing a framework and a fixed-parameter linear algorithm for special cases to address NP-hardness.
Findings
Wiser reduces intermediary fees and transaction data exposure.
It offers a fixed-parameter linear solution for specific aggregation cases.
The approach enhances throughput in payment channel networks.
Abstract
Payment channel networks (PCNs) are one of the most prominent solutions to the limited transaction throughput of blockchains. Nevertheless, PCNs suffer themselves from a throughput limitation due to the capital constraints of their channels. A similar dependence on high capital is also found in inter-bank payment settlements, where the so-called netting technique is used to mitigate liquidity demands. In this work, we alleviate this limitation by introducing the notion of transaction aggregation: instead of executing transactions sequentially through a PCN, we enable senders to aggregate multiple transactions and execute them simultaneously to benefit from several amounts that may "cancel out". Two direct advantages of our proposal is the decrease in intermediary fees paid by senders as well as the obfuscation of the transaction data from the intermediaries. We formulate the…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Banking stability, regulation, efficiency · FinTech, Crowdfunding, Digital Finance
