Energy-Efficient and Physical-Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things

【Author】 Liu, Yiliang; Su, Zhou; Wang, Yuntao

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】This article investigates computation offloading in blockchain-empowered Internet of Things (IoT), where the task data uploading link from sensors to a base station (BS) is protected by intelligent reflecting surface (IRS)-assisted physical-layer security (PLS). After receiving task data, the BS allocates computational resources provided by mobile-edge computing (MEC) servers to help sensors perform tasks. Existing blockchain-based computation offloading schemes usually focus on network performance improvements, such as energy consumption minimization (ECM) or latency minimization, and neglect the Gas fee for computation offloading, resulting in the dissatisfaction of high Gas providers. Also, the secrecy rate during the data uploading process cannot be measured by a steady value because of the time-varying characteristics of IRS-based wireless channels, thereby computational resources allocation with a secrecy rate measured before data uploading is inappropriate. In this article, we design a Gas-oriented computation offloading scheme that guarantees a low degree of dissatisfaction of sensors, while reducing energy consumption. Also, we deduce the ergodic secrecy rate of IRS-assisted PLS transmission that can represent the global secrecy performance to allocate computational resources. The simulations show that the proposed scheme has lower energy consumption compared to existing schemes and ensures that the node paying higher Gas gets stronger computational resources.

【Keywords】Task analysis; Sensors; Internet of Things; Servers; Blockchains; Resource management; Security; Blockchain; gas oriented; intelligent reflecting surface (IRS); Internet of Things (IoT); physical-layer security (PLS)

【发表时间】2023 15-Apr

【收录时间】2023-05-26

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-物联网