Title | ||
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Performance Analysis for Blockchain Driven Wireless IoT Systems Based on Tempo-Spatial Model |
Abstract | ||
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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. |
Year | DOI | Venue |
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2019 | 10.1109/CyberC.2019.00066 | 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) |
Keywords | DocType | ISSN |
blockchain,IoT,Network performance | Conference | 2475-7020 |
ISBN | Citations | PageRank |
978-1-7281-2543-5 | 1 | 0.35 |
References | Authors | |
4 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yao Sun | 1 | 179 | 38.32 |
Lei Zhang | 2 | 134 | 20.50 |
Gang Feng | 3 | 7753 | 468.09 |
Bowen Yang | 4 | 5 | 1.08 |
Bin Cao | 5 | 85 | 12.64 |
Muhammad Ali Imran | 6 | 2920 | 278.27 |