MPCN-RP: A Routing Protocol for Blockchain-Based Multi-Charge Payment Channel Networks

Blockchain-based cryptocurrencies are severely limited in transaction throughput and latency due to the need to seek consensus among all peers of the network. A promising solution to this issue is payment channels, which allow unlimited numbers of atomic and trust-free payments between two peers wit...

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Veröffentlicht in:IEEE eTransactions on network and service management Jg. 19; H. 2; S. 1229 - 1242
Hauptverfasser: Chen, Yanjiao, Ran, Yuyang, Zhou, Jingyue, Zhang, Jian, Gong, Xueluan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Bitcoin
Blockchain
Blockchains
Channels
Costs
Cryptography
Digital currencies
Lightning
Network latency
Nodes
payment channel network
Peer-to-peer computing
Routing
Throughput
ISSN:1932-4537, 1932-4537
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Zusammenfassung:Blockchain-based cryptocurrencies are severely limited in transaction throughput and latency due to the need to seek consensus among all peers of the network. A promising solution to this issue is payment channels, which allow unlimited numbers of atomic and trust-free payments between two peers without exhausting the resources of the blockchain. A linked payment channel network enables payments between two peers without direct channels through a series of intermediate nodes that forward and charge for the transactions. However, the charging strategies of intermediate nodes vary with different payment channel networks. Existing works do not yet have a complete routing algorithm to provide the most economical path for users in a multi-charge payment channel network. In this work, we propose MPCN-RP, a general routing protocol for payment channel networks with multiple charges. Our extensive experimental results on both simulated and real payment channel networks show that MPCN-RP significantly outperforms the baseline algorithms in terms of time and fees.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1932-4537
1932-4537
DOI:10.1109/TNSM.2021.3139019