This study presents an environmentally friendly mechanism for task distribution designed explicitly for blockchain Proof of Authority (POA) consensus. This approach facilitates the selection of virtual machines for tasks such as data processing, transaction verification, and adding new blocks to the blockchain. Given the current lack of effective methods for integrating POA blockchain into the Cloud Industrial Internet of Things (CIIoT) due to their inefficiency and low throughput, we propose a novel algorithm that employs the Dynamic Voltage and Frequency Scaling (DVFS) technique, replacing the periodic transaction authentication process among validator candidates. Managing computer power consumption becomes a critical concern, especially within the Internet of Things ecosystem, where device power is constrained, and transaction scalability is crucial. Virtual machines must validate transactions (tasks) within specific time frames and deadlines. The DVFS technique efficiently reduces power consumption by intelligently scheduling and allocating tasks to virtual machines. Furthermore, we leverage artificial intelligence and neural networks to match tasks with suitable virtual machines. The simulation results demonstrate that our proposed approach harnesses migration and DVFS strategies to optimize virtual machine utilization, resulting in decreased energy and power consumption compared to non-DVFS methods. This achievement marks a significant stride towards seamlessly integrating blockchain and IoT, establishing an ecologically sustainable network. Our approach boasts additional benefits, including decentralization, enhanced data quality, and heightened security. We analyze simulation runtime and energy consumption in a comprehensive evaluation against existing techniques such as WPEG, IRMBBC, and BEMEC. The findings underscore the efficiency of our technique (LBDVFSb) across both criteria.

本研究提出了一种专为区块链权威证明（POA）共识而设计的环保任务分配机制。这种方法有助于选择虚拟机来执行数据处理、交易验证以及向区块链添加新块等任务。鉴于目前缺乏将 POA 区块链集成到云工业物联网 (CIIoT) 中的有效方法，因为它们效率低下且吞吐量低，我们提出了一种采用动态电压和频率缩放 (DVFS) 技术的新颖算法，取代周期性的验证者候选者之间的交易验证过程。管理计算机功耗成为一个关键问题，特别是在物联网生态系统中，设备功率受到限制，事务可扩展性至关重要。虚拟机必须在特定的时间范围和期限内验证事务（任务）。DVFS技术通过智能调度和分配任务给虚拟机，有效降低功耗。此外，我们利用人工智能和神经网络将任务与合适的虚拟机相匹配。仿真结果表明，我们提出的方法利用迁移和 DVFS 策略来优化虚拟机利用率，与非 DVFS 方法相比，可以降低能源和功耗。这一成就标志着区块链和物联网无缝集成、建立生态可持续网络的重大进步。我们的方法具有额外的好处，包括去中心化、增强的数据质量和更高的安全性。我们根据 WPEG、IRMBBC 和 BEMEC 等现有技术进行综合评估，分析仿真运行时间和能耗。研究结果强调了我们的技术 (LBDVFSb) 在这两个标准上的效率。