Blockchain-enabled wireless internet of things: performance analysis and optimal communication node deployment

Sun, Y., Zhang, L., Feng, G., Yang, B., Cao, B. and Imran, M. A. (2019) Blockchain-enabled wireless internet of things: performance analysis and optimal communication node deployment. IEEE Internet of Things Journal, 6(3), pp. 5791-5802. (doi:10.1109/JIOT.2019.2905743) (Early Online Publication)

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Abstract

Blockchain has shown a great potential in Internet of Things (IoT) ecosystems for establishing trust and consensus mechanisms without involvement of any third party. Understanding the relationship between communication and blockchain as well as the performance constraints posing on the counterparts can facilitate designing a dedicated blockchain-enabled IoT systems. In this paper, we establish an analytical model for the blockchain-enabled wireless IoT system. By considering spatio-temporal domain Poisson distribution, i.e., node geographical distribution in spatial domain 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 transmission successful rate as well as overall throughput. Based on the system model and performance analysis, we design an algorithm to determine the optimal full function node deployment for blockchain system under the criterion of maximizing transaction throughput. Finally the security performance is analyzed in the proposed networks with three typical attacks. Solutions such as physical layer security are presented and discussed to keep the system secure under these attacks. Numerical results validate the accuracy of our theoretical analysis and optimal node deployment algorithm.

Item Type:Articles
Additional Information:The work was supported by U.K. Engineering and Physical Sciences Research Council under Grant EP/S02647X/01, and the National Science Foundation of China under Grant number 61631004 and 61971099.
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yang, Bowen and Zhang, Dr Lei and Imran, Professor Muhammad and Sun, Yao and Feng, Professor Gang
Authors: Sun, Y., Zhang, L., Feng, G., Yang, B., Cao, B., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Internet of Things Journal
Publisher:IEEE
ISSN:2327-4662
ISSN (Online):2327-4662
Published Online:18 March 2019
Copyright Holders:Copyright © 2019 IEEE
First Published:First published in IEEE Internet of Things Journal 6(3):5791-5802
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3044810Resource Orchestration for Diverse Radio SystemsLei ZhangEngineering and Physical Sciences Research Council (EPSRC)EP/S02476X/1ENG - Systems Power & Energy