Data Allocation Mechanism for Internet-of-Things Systems With Blockchain

被引:39
|
作者
Yanez, Wendy [1 ,2 ,3 ]
Mahmud, Redowan [4 ]
Bahsoon, Rami [2 ]
Zhang, Yuqun [5 ]
Buyya, Rajkumar [4 ]
机构
[1] Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China
[2] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England
[3] Polythecn Univ Gustavo Galindo, ESPOL, Escuela Super Politecn Litoral, Fac Ingn Elect & Comp, Guayaquil, Ecuador
[4] Univ Melbourne, Sch Comp & Informat Syst, Cloud Comp & Distributed Syst Lab, Melbourne, Vic 3053, Australia
[5] Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen Key Lab Computat Intelligence, Shenzhen 518055, Australia
来源
IEEE INTERNET OF THINGS JOURNAL | 2020年 / 7卷 / 04期
基金
中国国家自然科学基金;
关键词
Blockchain; data management; fuzzy logic; Internet of Things (IoT); software architecture styles; FUZZY-LOGIC; NEURAL-NETWORKS; IOT; CHALLENGES; IMPROVE;
D O I
10.1109/JIOT.2020.2972776
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The use of Internet of Things (IoT) has introduced genuine concerns regarding data security and its privacy when data are in collection, exchange, and use. Meanwhile, blockchain offers a distributed and encrypted ledger designed to allow the creation of immutable and tamper-proof records of data at different locations. While blockchain may enhance IoT with innate security, data integrity, and autonomous governance, IoT data management and its allocation in blockchain still remain an architectural concern. In this article, we propose a novel context-aware mechanism for on-chain data allocation in IoT-blockchain systems. Specifically, we design a data controller based on fuzzy logic to calculate the Rating of Allocation (RoA) value of each data request considering multiple context parameters, i.e., data, network, and quality and decide its on-chain allocation. Furthermore, we illustrate how the design and realization of the mechanism lead to refinements of two commonly used IoT-blockchain architectural styles (i.e., blockchain-based cloud and fog). To demonstrate the effectiveness of our approach, we instantiate the data allocation mechanism in the blockchain-based cloud and fog architectures and evaluate their performance using FogBus. We also compare the efficacy of our approach to the existing decision-making mechanisms through the deployment of a real-world healthcare application. The experimental results suggest that the realization of the data allocation mechanism improves network usage, latency, and blockchain storage and reduces energy consumption.
引用
收藏
页码:3509 / 3522
页数:14
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