边缘上的分散数据处理——使用边缘计算访问无线传感器网络

Henry-Norbert Cocos, David Merkl
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引用次数: 0

摘要

无线传感器网络通常缺乏适当的硬件资源来分析和可视化其传感器收集的数据。一般来说,在这种网络中,记录的数据只是转发到数据库。有更多资源的服务器可以访问数据,实现监控、可视化和统计分析。因此,作为此类wsn的补充,提出了一种边缘计算方法,其中一些计算密集型任务被外包到子层。这将应用于传感器网络,通过测量几个物理量来确定室内空气质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DECENTRALIZED DATA PROCESSING ON THE EDGE – ACCESSING WIRELESS SENSOR NETWORKS WITH EDGE COMPUTING
Wireless Sensor Networks usually lack the proper hardware resources to analyze and visualize the gathered data by its sensors. In general, within such networks the recorded data is just forwarded to a database. There servers with more resources can access the data, to realize monitoring, visualization and statistical analysis. Therefore as an addition to such WSNs an edge computing approach is proposed, where some of the compute-intensive tasks are outsourced into sub layers. This will be applied on a sensor network, which measures several physical quantities to determine the indoor air quality.
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