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基于大数据技术的传感设备数据传输路径优化方法

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为降低传输中数据通信路径的抖动频次,提高传输路径的网络带宽,文章引进大数据技术研究传感设备数据传输路径优化方法。根据无线信号的强度和节点的发射功率,设置通信半径,明确不同节点之间能够相互通信的最大距离,以此为依据,建立传感设备数据无线传输网络;利用大数据技术中的数据挖掘技术,进行全域数据扫描;使用机器学习技术,进行节点关联计算,根据计算节点,选取传输网络簇头节点;引入了数据分发技术中的多播方式,设计传感设备数据多路径传输。对比实验结果证明:该方法可以在控制传感设备数据传输路径抖动频次的基础上,提高网络传输路径的带宽,为数据的高效率传输提供全面的技术保障与支持。
Optimization method of data transmission path of sensing equipment based on big data technology
In order to reduce the jitter frequency of the data communication path in the transmission and improve the network bandwidth of the transmission path,this article introduces big data technology to carry out the design and research of the optimization method of the data transmission path of the sensing equipment.According to the strength of the wireless signal and the transmission power of the node,the communication radius is set to define the maximum distance between different nodes to communicate with each other,establish the sensing equipment data transmission network;use data mining technology in big data technology to scan global data;The article uses machine learning technology to calculate node correlation,select transmission node cluster node according to computing nodes;and introduces multicast mode in data distribution technology to design multi-path transmission of data of sensing equipment.The comparative experimental results prove that this method can improve the bandwidth of the network transmission path on the basis of controlling the jitter frequency of the data transmission path of the sensing equipment,and provide comprehensive technical support for the efficient data transmission in this way.

big data technologycluster head nodeoptimization methodpathdata transmissionsensing equipment

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华南农业大学 珠江学院,广东 广州 510900

大数据技术 簇头节点 优化方法 路径 数据传输 传感设备

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(24)