The Use of Blockchain to Support Distributed AI Implementation in IoT Systems

【Author】 Alrubei, Subhi M.; Ball, Edward; Rigelsford, Jonathan M.

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】This article presents a distributed and decentralized architecture for the implementation of distributed artificial intelligence (DAI) using hardware platforms provided by the Internet of Things (IoT). A trained DAI system has been implemented over IoT, where each IoT device acts as one or more of the neurons within the DAI layers. This is accomplished by the utilization of decentralized, self-managed blockchain technologies that allow trusted interactions and information to be exchanged between distributed neurons. The platform was built and customized to be used within the IoT system, and it is capable of handling DAI-related tasks. A new consensus mechanism based on Proof of Authority (PoA) and Proof of Work (PoW) has been designed and implemented, along with bespoke block and transaction formats. The proposed architecture was analyzed, implemented, and tested using a dedicated testbed with low-cost IoT devices. A quantitative measurement and performance evaluation of the system based on a real-world IoT application was conducted. The implemented DAI is found to have an accuracy of 92%-98%, with an energy cost of 0.12 joules (J) when utilizing a Raspberry Pi to run one neuron. The measured hash per joule (h/J) when using a Raspberry Pi for mining is 13.8 Kh/J compared to 54 Kh/J using an ESP32. The results showed that it is feasible to implement a DAI system utilizing the IoT hardware platform while maintaining the system's accuracy. The integration of the blockchain has added an element of security and trust to the data and the interaction between system components.

【Keywords】Blockchain; Artificial intelligence; Internet of Things; Cloud computing; Computer architecture; Distributed databases; Data mining; Blockchain; consensus mechanisms; distributed artificial intelligence (DAI); Internet of Things (IoT); performance evaluation

【发表时间】2022 AUG 15

【收录时间】2022-08-28

【文献类型】理论模型

【主题类别】

区块链技术-核心技术-分布式存储