Lin, Xinhua ; Zhang, Jing ; Xiang, Lin ; Ge, Xiohu (2021):
Energy Consumption Optimization for UAV Assisted Private Blockchain-based IIoT Networks.
In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall): Proceedings,
IEEE, 94th Vehicular Technology Conference (VTC2021-Fall), virtual Conference, 27.-30.09.2021, ISBN 978-1-6654-1368-8,
DOI: 10.1109/VTC2021-Fall52928.2021.9625316,
[Conference or Workshop Item]

Abstract

The blockchain is a promising technology to enhance the security and resilience of industrial Internet of Things (IIoT) networks. However, generating blockchain for the IIoT devices usually consumes excessive energy which may not be affordable for battery-powered IIoT devices. To address this problem, in this paper, we consider an unmanned aerial vehicle (UAV) assisted private blockchain-based IIoT system. Thereby, a UAV mounted with computing processor is deployed as a multi-access edge computing platform, which is responsible for collecting data from the IIoT devices, generating blocks based on the collected data, and broadcasting the blocks to the IIoT devices. To minimize the energy consumption of the UAV, joint optimization of the central processing unit (CPU) frequencies for data computation and block generation, the amount of offloaded IIoT data, the bandwidth allocation, and the trajectory of the UAV is formulated as a nonconvex optimization problem and solved via a successive convex approximation (SCA) algorithm. Simulation results show that, compared with several baseline schemes, the proposed scheme can significantly lower the energy consumption required for the blockchain generation in IIoT networks.

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