Analysis of the Communication Traffic Model for Permissioned Blockchain Based on Proof-of-Work

Haihua Zhang, Laphou Lao, Chang Shu, Bin Xiao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Nowadays, blockchain as emerging computer technology is gradually applied to the Internet of Things (IoT) industry. However, high traffic load and network congestion have become the main obstacles to the integration of IoT and blockchain, thanks to the vast amount of IoT devices as well as the considerable information redundancy of blockchain. In IoT-blockchain, the number of IoT devices and the blockchain network scale are supposed to establish an appropriate balance. Therefore, building a precise traffic model between the blockchain and IoT devices is crucial for designing and optimizing an IoT-Blockchain network. This paper proposes an innovative traffic model of the IoT-blockchain system, which describes traffic of blockchain nodes under the different sizes of IoT input and network scale. We implement a lightweight Bitcoin-like blockchain based on PoW and connect with several IoT simulators to conduct various network traffic experiments. Our mathematical model and experimental results demonstrate the relationship between self-similarity, network traffic, blockchain scales, and the number of IoT inputs.

Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171227
Publication statusPublished - Jun 2021
Event2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
Duration: 14 Jun 202123 Jun 2021

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2021 IEEE International Conference on Communications, ICC 2021
CityVirtual, Online

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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