CrowdLBM: A lightweight blockchain-based model for mobile crowdsensing in the Internet of Things

【Author】 Xi, Jinwen; Zou, Shihong; Xu, Guoai; Lu, Yueming

【Source】PERVASIVE AND MOBILE COMPUTING

【影响因子】3.848

【Abstract】With the commercialization of fifth generation mobile networks (5G) and continuous innovation of the Internet of Things (IoT), crowdsensing, as a new emerging IoT application, has further deepened our knowledge, utilizing various smart objects distributed throughout the whole industrial system for data collection and processing. To avoid a single point of failure and ensure data integrity, blockchain technology was widely applied. However, due to the demand for computing power and resources, IoT devices with limited capabilities and resources are unsuitable for crowdsensing implementation in the blockchain network. Therefore, this paper proposes a lightweight blockchainbased crowdsensing model named CrowdLBM with a novel consensus mechanism based on global reputation to resolve the issues raised above. Furthermore, we propose a two stage scheme and two types of smart contracts to support the crowdsensing process automatically without the intervention of any third party. Finally, we implement a blockchain prototype on Hyperledger Sawtooth, extensive experimental results show that the proposed CrowdLBM outperforms other crowdsensing systems in terms of both scalability and security.(C) 2022 Elsevier B.V. All rights reserved.

【Keywords】Internet of Things; Crowdsensing; Lightweight consensus mechanism; Global reputation; Smart contract

【发表时间】2022 AUG

【收录时间】2022-07-10

【文献类型】理论性文章

【主题类别】

区块链技术-核心技术-共识机制