Today, Blockchain technology is emerging to support high secured performance computing. To improve privacy and security factors of allocate, storage, and manage resources in edge computing, blockchain technology can be used to guarantee safe data transmission and communications in Internet of Things (IoT). Due to heterogeneity of resources to cover a range number of IoT applications, resource allocation has a key role for increasing performance of the IoT systems in edge computing. Also, a blockchain-based resource allocation model can support Quality of Service (QoS) for IoT applications to ensure a high secured communication environment in edge computing. This paper reviews different existing green energy strategies based on blockchain technology in mobile crowd sensing. Mobile crowd sensing refers to all computational aspects related to smart city, smart home-care, smart grid, smart transportations, smart medical systems, smart industry, manufacturing, and smart farming in IoT environments. This review aims to classify principles and technical aspects of green energy strategies based on blockchain technology in mobile crowd sensing with respect to technical aspects, applied algorithms, evaluation factors, and evaluation environments. Based on Systematic Literature Review (SLR), we selected 37 high potential and key relevant research studies to consider in this review. Based on analytical results, 35% of them were considered as private-based blockchain methods, 33% of them were applied to the public-based blockchain methods, 24% of them were considered as consortium-based blockchain methods, and 8% of them were as hybrid-based blockchain methods.

中文翻译：

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用于物联网中能源感知移动人群感知方法的区块链技术

如今，区块链技术正在兴起，以支持高安全性能计算。为了提高边缘计算中分配、存储和管理资源的隐私和安全因素，区块链技术可用于保证物联网（IoT）中数据的安全传输和通信。由于覆盖大量物联网应用的资源存在异构性，资源分配对于提高物联网系统在边缘计算中的性能起着关键作用。此外，基于区块链的资源分配模型可以支持物联网应用的服务质量（QoS），以确保边缘计算中高度安全的通信环境。本文回顾了移动人群感知中基于区块链技术的不同现有绿色能源策略。移动人群感知是指物联网环境中与智慧城市、智能家庭护理、智能电网、智能交通、智能医疗系统、智能工业、制造和智能农业相关的所有计算方面。本综述旨在从技术方面、应用算法、评估因素和评估环境等方面对基于区块链技术的移动人群感知绿色能源策略的原则和技术方面进行分类。基于系统文献综述 (SLR)，我们选择了 37 项高潜力且关键的相关研究在本综述中考虑。根据分析结果，其中35％被认为是基于私有的区块链方法，其中33％被认为是基于公共的区块链方法，其中24％被认为是基于联盟的区块链方法，其中8％是基于混合的区块链方法。