A-C: An NDN-based Blockchain Network with Erasure Coding

Ruiran Wang, Laurent Njilla, Shucheng Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In blockchain systems timely dissemination of transactions and blocks to the network is not only critical for consensus but also closely related to the system efficiency and security. Flooding-based gossip protocols, as adopted in mainstream blockchain systems, can offer low latency and reliability but at the cost of communication redundancy. In this paper we present a new data dissemination protocol, namely A-C, based on the named data networking (NDN) technique. A-C integrates erasure coding (EC) in a two-layer NDN-based publication-subscription mechanism for fast data dissemination and bandwidth efficiency. To further reduce data redundancy, we introduce a new interrupt response mechanism which probabilistically terminates data forwarding at receiving nodes to suppress the dissemination of excessive data blocks. Simulation shows that A-C reduces data redundancies by up to 28.9% as compared to the state-of-the-art NDN-based solution at a comparable level of latency. Compared with the gossip protocol, A-C reduces up to 58.7% redundancies and 15% latency.

Original languageEnglish
Title of host publication2023 International Conference on Computing, Networking and Communications, ICNC 2023
Pages591-595
Number of pages5
ISBN (Electronic)9781665457194
DOIs
StatePublished - 2023
Event2023 International Conference on Computing, Networking and Communications, ICNC 2023 - Honolulu, United States
Duration: 20 Feb 202322 Feb 2023

Publication series

Name2023 International Conference on Computing, Networking and Communications, ICNC 2023

Conference

Conference2023 International Conference on Computing, Networking and Communications, ICNC 2023
Country/TerritoryUnited States
CityHonolulu
Period20/02/2322/02/23

Keywords

  • Bandwidth optimization
  • Blockchain
  • Efficiency
  • Information-Centric Network
  • Named-Data Network
  • Privacy
  • Security

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