Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model

Yao Sun; Lei Zhang; Gang Feng; Bowen Yang; Bin Cao; Muhammad Imran

doi:10.1109/CyberC.2019.00066

Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model

Yao Sun
, Lei Zhang
, Gang Feng
, Bowen Yang
, Bin Cao
, Muhammad Imran

University of Electronic Science and Technology of China
University of Glasgow
Beijing University of Posts and Telecommunications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Blockchain has shown a great potential for Internet of Things (IoT) systems to establish trust and consensus mechanisms with no involvement of any third party. It has been not clear how the low complexity devices and the wireless communications among them can pose constraints on the blockchain enabled IoT systems. In this paper, we establish a fundamental analysis model to underpin the blockchain enabled IoT system. By considering spatio-temporal domain Poisson distribution, i.e., node geographical distribution and transaction arrival rate in time domain are both modeled as Poisson point process (PPP), we first derive the distribution of signal-to-interference-plus-noise ratio (SINR), blockchain transaction successful rate as well as overall throughput. Then, based on the analytical model, we design an optimal full function node deployment for blockchain system to achieve the maximum transaction throughput with the minimum full function node density. Numerical results validate the accuracy of our theoretical analysis and evaluate the relationship between blockchain full function node deployment and the density of IoT nodes.

Original language	English
Title of host publication	Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	348-353
Number of pages	6
ISBN (Electronic)	9781728125411
DOIs	https://doi.org/10.1109/CyberC.2019.00066
State	Published - Oct 2019
Externally published	Yes
Event	2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019 - Guilin, China Duration: 17 Oct 2019 → 19 Oct 2019

Publication series

Name	Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019

Conference

Conference	2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019
Country/Territory	China
City	Guilin
Period	17/10/19 → 19/10/19

Keywords

Blockchain
IoT
Network performance

Access to Document

10.1109/CyberC.2019.00066

Cite this

Sun, Y., Zhang, L., Feng, G., Yang, B., Cao, B., & Imran, M. (2019). Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model. In Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019 (pp. 348-353). Article 8945826 (Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CyberC.2019.00066

Sun, Yao ; Zhang, Lei ; Feng, Gang et al. / Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model. Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 348-353 (Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019).

@inproceedings{2b86d617a5fb40d7ad3bbcec5e844a40,

title = "Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model",

abstract = "Blockchain has shown a great potential for Internet of Things (IoT) systems to establish trust and consensus mechanisms with no involvement of any third party. It has been not clear how the low complexity devices and the wireless communications among them can pose constraints on the blockchain enabled IoT systems. In this paper, we establish a fundamental analysis model to underpin the blockchain enabled IoT system. By considering spatio-temporal domain Poisson distribution, i.e., node geographical distribution and transaction arrival rate in time domain are both modeled as Poisson point process (PPP), we first derive the distribution of signal-to-interference-plus-noise ratio (SINR), blockchain transaction successful rate as well as overall throughput. Then, based on the analytical model, we design an optimal full function node deployment for blockchain system to achieve the maximum transaction throughput with the minimum full function node density. Numerical results validate the accuracy of our theoretical analysis and evaluate the relationship between blockchain full function node deployment and the density of IoT nodes.",

keywords = "Blockchain, IoT, Network performance",

author = "Yao Sun and Lei Zhang and Gang Feng and Bowen Yang and Bin Cao and Muhammad Imran",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019 ; Conference date: 17-10-2019 Through 19-10-2019",

year = "2019",

month = oct,

doi = "10.1109/CyberC.2019.00066",

language = "English",

series = "Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Sun, Y, Zhang, L, Feng, G, Yang, B, Cao, B & Imran, M 2019, Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model. in Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019., 8945826, Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 348-353, 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019, Guilin, China, 17/10/19. https://doi.org/10.1109/CyberC.2019.00066

Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model. / Sun, Yao; Zhang, Lei; Feng, Gang et al.
Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 348-353 8945826 (Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Sun, Yao

AU - Zhang, Lei

AU - Feng, Gang

AU - Yang, Bowen

AU - Cao, Bin

AU - Imran, Muhammad

PY - 2019/10

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N2 - Blockchain has shown a great potential for Internet of Things (IoT) systems to establish trust and consensus mechanisms with no involvement of any third party. It has been not clear how the low complexity devices and the wireless communications among them can pose constraints on the blockchain enabled IoT systems. In this paper, we establish a fundamental analysis model to underpin the blockchain enabled IoT system. By considering spatio-temporal domain Poisson distribution, i.e., node geographical distribution and transaction arrival rate in time domain are both modeled as Poisson point process (PPP), we first derive the distribution of signal-to-interference-plus-noise ratio (SINR), blockchain transaction successful rate as well as overall throughput. Then, based on the analytical model, we design an optimal full function node deployment for blockchain system to achieve the maximum transaction throughput with the minimum full function node density. Numerical results validate the accuracy of our theoretical analysis and evaluate the relationship between blockchain full function node deployment and the density of IoT nodes.

AB - Blockchain has shown a great potential for Internet of Things (IoT) systems to establish trust and consensus mechanisms with no involvement of any third party. It has been not clear how the low complexity devices and the wireless communications among them can pose constraints on the blockchain enabled IoT systems. In this paper, we establish a fundamental analysis model to underpin the blockchain enabled IoT system. By considering spatio-temporal domain Poisson distribution, i.e., node geographical distribution and transaction arrival rate in time domain are both modeled as Poisson point process (PPP), we first derive the distribution of signal-to-interference-plus-noise ratio (SINR), blockchain transaction successful rate as well as overall throughput. Then, based on the analytical model, we design an optimal full function node deployment for blockchain system to achieve the maximum transaction throughput with the minimum full function node density. Numerical results validate the accuracy of our theoretical analysis and evaluate the relationship between blockchain full function node deployment and the density of IoT nodes.

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KW - IoT

KW - Network performance

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ER -

Sun Y, Zhang L, Feng G, Yang B, Cao B, Imran M. Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model. In Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 348-353. 8945826. (Proceedings - 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2019). doi: 10.1109/CyberC.2019.00066

Performance analysis for blockchain driven wireless IoT systems based on tempo-spatial model

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