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

Toru Mochida, D. Nozaki, K. Okamoto, Xin Qi, Zheng Wen, Takuro Sato, Keping Yu
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引用次数: 8

Abstract

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.
基于ICN的网络天气监测系统命名方案采用NLP机器学习方法
物联网设备市场几年来一直在迅速扩张,许多领域都预计未来会有进一步的需求。然而,随着这种扩展,预计通信故障也会增加,因此需要防止通信故障的解决方案。在这里,我们的目标是使用一种称为ccnx(内容中心网络)的新网络来解决通信问题,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物联网应用程序的情况来构建的,其中很可能发生大数据通信。在本文中,我们提出了一种通过ICN分发由天气观测设备和4K摄像机收集的气象数据的技术,并使用机器学习的新命名方案缓存内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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