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Naming scheme using NLP machine learning method for network weather monitoring system based on ICN

机译:基于ICN的网络天气监测系统NLP机器学习方法命名方案

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The market for IoT devices has been expanding rapidly for several years, and many fields are anticipating further demand in the future. However, together with this expansion, increased communication failures are expected, and solutions to prevent them are needed. Here, we aim to solve communication problems using a new network, called the CCN x (Contents Centric Networking), which is one of the leading ICN (Information Centric Networking) solutions. Our system was constructed by assuming the case of a weather monitoring IoT application in which large data communications were very likely to occur. In this paper, we propose a technique for distributing meteorological data gathered with a weather observation device and 4K camera by ICN, and caching content with a new Naming scheme using machine learning.
机译:IOT设备市场已经迅速扩大了几年,而且许多领域在未来预测进一步的需求。然而,随着这种扩展,预期增加的通信故障,需要防止它们的解决方案。在这里,我们的目标是使用新网络解决沟通问题,称为CCN x (内容中心网络),这是领先的ICN(信息中心网络)解决方案之一。我们的系统是通过假设天气监测IOT应用程序的情况来构建的,其中大量数据通信非常可能发生。在本文中,我们提出了一种通过ICN和4K摄像机收集的气象数据和使用机器学习的新命名方案缓存内容。

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