基于雾计算的NB-IoT关键技术研究与应用

Baoling Qin, Xiaowei Lin, F. Zheng, Xinhong Chen, Chenglin Huang, Riqiang Pan
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引用次数: 1

摘要

目前,NB-IoT技术的发展日新月异,带来了大量的数据交换、分析和存储问题,给传统的计算模式——云计算带来了诸多挑战。同时,也指出了云计算在大数据计算和分析中的不足和劣势。在此基础上,提出了基于雾计算的NB-IoT模型,并对其主要技术和应用进行了分析,以减少NB-IoT数据计算的延迟,提高应用系统的响应速度,节省网络带宽,加速数据交换,保证数据分析的质量,提高数据存储空间的效率,同时对如何将理论和技术应用于实践进行了研究。分析了基于雾计算的NB-IoT主要技术的应用。
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Research and Application of Key Technology of NB-IoT Based on Fog Computing
At present, the development of NB-IoT technology is changing every day, and leads to a large amount of data exchange, analysis and storage issues, which brings many challenges to the traditional computing model--cloud computing. At the same time, it also points out the shortcomings and disadvantages of cloud computing in big data calculation and analysis. Based on this, the NB-IoT model based on fog computing was proposed and its main technologies and applications are analyzed to reduce the delay of NB-IoT data calculation, improve the response speed of application system, save network bandwidth, accelerate data exchange, ensure the quality of data analysis and improve the efficiency of data storage space and meanwhile, it is studied how to apply theory and technology to practice, and the application of NB-IoT main technology based on fog computing is also analyzed.
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