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)
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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: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad and Zhang, Professor Lei and Yang, Bowen and Sun, Dr 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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