摘要
在物联网快速发展的背景下,设备数量急剧增加导致网络请求日益频繁。传统的中央处理方式难以应对大规模设备所产出的海量数据,这引发了吞吐量问题和多样化场景应用的挑战。为了解决这一问题,文章提出基于区块链与边缘计算的物联网数据访问控制研究。该研究通过小波包分析处理振动信号,提取初级特征,再经过深度卷积神经网络输出故障深度特征信号,构建了轻量级区块链,通过边缘计算实现控制访问。测试结果表明:该方法具有高稳定性和适应性,能确保物联网模型在响应时间内对请求作出反馈。
Against the backdrop of the rapid development of the Internet of Things(IoT),the rapid increase in the number of devices has led to increasingly frequent network requests.The traditional central processing method is difficult to cope with the massive data generated by large-scale devices,which leads to throughput issues and challenges in dealing with diverse application scenarios.In order to solve this problem,the research on data access control of Internet of Things based on blockchain and edge computing is proposed.The vibration signal is processed through wavelet packet analysis,the primary features are extracted,and the fault depth feature signal is output through the deep convolution neural network.A lightweight blockchain is constructed,and the control access is achieved through the edge computing.The test results indicate that it has high stability and adaptability,ensuring that the IoT model can provide feedback on requests within the response time.
作者
姜垚
JIANG Yao(Department of Computer Engineering,Shangqiu University,Shangqiu 476000,China)
出处
《无线互联科技》
2024年第14期120-122,共3页
Wireless Internet Technology
关键词
工作证明共识算法
哈希链接
轻量级区块链
边缘计算
权限裁决点
访问信息属性
拟合关系
work proof consensus algorithm
Hash link
lightweight blockchain
edge computing
permission ruling point
access information attributes
fitting relationship
作者简介
姜垚(1992—),男,助理实验师,本科,研究方向:计算机科学与技术。
