RON-enhanced blockchain propagation mechanism for edge-enabled smart cities

Junjie Huang, Liang Tan, Wenjuan Li, Keping Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)


Edge computing can serve latency-sensitive data generated by smart IoT devices in smart cities, which cannot be accommodated by cloud services. However, edge-enabled smart cities applications face many security issues such as massive centralization, vulnerability to tampering, and tracing difficulty. Blockchain, as an emerging ledger technology, can be a useful solution to these problems. However, due to network propagation delay, blockchain fork may occur in the network of edge-enabled smart cities at some time. It can lead to double payment attacks and damage data integrity. To address this issue, this paper proposes a blockchain network propagation mechanism based on the resilient overlay network (RON) for edge-enabled smart cities. Firstly, it reconstructs the networking mode between the blockchain nodes in smart cities based on RON so that the blockchain nodes can quickly detect the link state of the Internet in smart cities. The shortest path algorithm and policy routing are then applied to construct the propagation path between the blockchain nodes to optimize the Gossip propagation mechanism and enhance the QoS and QoE. Simulation results show that the RON-based blockchain network propagation mechanism for edge-enabled smart cities is beneficial in terms of average route hop count, transmission success rate, routing overhead, average delay, and reduced fork probability.

Original languageEnglish
Article number102936
Pages (from-to)1-10
Number of pages10
JournalJournal of Information Security and Applications
Publication statusPublished - Sept 2021
Externally publishedYes


  • Blockchain fork
  • Gossip
  • Optimal propagation mechanism
  • Propagation delay
  • Resilient overlay network

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications


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