Cited by 82Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningIoT and Edge/Fog Computing

Tornado: Enabling Blockchain in Heterogeneous Internet of Things Through a Space-Structured Approach

Liu, Yinqiu, Wang, Kun, Qian, Kai, Du, Miao, Guo, Song·2020·IEEE Internet of Things Journal

Abstract

With the widespread applications of the Internet of Things (IoT), e.g., smart city, business, healthcare, etc., the security of data and devices becomes a major concern. Although blockchain can effectively enhance the network security and achieve fault tolerance, the huge resource consumption and limited performance of data processing restrict its deployments in IoT scenarios. Observing the heterogeneity and resource constraints, we intend to make blockchain accommodate both wimpy and brawny IoT devices. In this article, we present Tornado, a high-performance blockchain system based on space-structured ledger and corresponding algorithms, to enable blockchain in IoT. Specifically, we first design a space-structured chain architecture with novel data structures for promoting the network scalability. To address the huge heterogeneity of IoT, a novel consensus mechanism named collaborative-proof of work is developed. Moreover, we propose the space-structured greedy heaviest-observed subtree (S2GHOST) protocol for improving the resource efficiency of IoT devices. Additionally, a dynamic weight assignment mechanism in S2GHOST contributes to reflect the trustworthiness of data and devices. Extensive experiments demonstrate that Tornado can achieve a maximum throughput of 3464.76 transactions per second. The optimizations of propagation latency and resource efficiency are 68.14% and 30.56%, respectively.

Integrity signals

Registry

Crossref · 10.1109/jiot.2019.2954128

Cites

41 of 41 references verified0 citation errors · 0 not checkable

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  • Limited scalability of blockchain systems is another pressing challenge of blockchain deployments in the smart city.

    “Another pressing challenge of blockchain deployments in the smart city is the limited scalability of blockchain systems (Liu et al. 2020).”

    From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Liu et al. 2020

  • To advance IoT-enabled smart cities, blockchain can play a critical role in improving IoT networks, achieving fault tolerance, optimizing resource consumption, and enhancing data processing performance.

    “To advance IoT-enabled smart cities, blockchain can play a critical role in improving IoT networks, achieving fault tolerance, optimizing resource consumption, and enhancing data processing performance (Liu et al. 2020).”

    From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Liu et al. 2020

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Authors
Liu, Y., Wang, K., Qian, K., Du, M., & Guo, S.
Affiliations
  • Nanjing University of Posts and Telecommunications (CN)
  • University of California, Los Angeles (US)
  • Hong Kong Polytechnic University (HK)
Venue
IEEE Internet of Things Journal
Published
2020-02
Volume
7
Issue
2
Pages
1273-1286
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
OpenAlex
W2990026647
Cited by
82
References
41
Citations by year
2026: 3 · 2025: 8 · 2024: 12 · 2023: 13 · 2022: 14 · 2021: 21 · 2020: 10 · 2019: 1
FWCI
14.31
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Internet of Things Journal (publishedVersion)
  • Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
Funders
  • National Basic Research Program of China (2018YFB1004700)
  • National Natural Science Foundation of China (61872195, 61832005, 61572262)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
blockchain, Internet of Things, heterogeneous devices, consensus algorithms, dynamic weighting, resource efficiency, network scalability, transaction throughput, propagation delay, trustworthiness

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