基于可操作计算的物联网智能技术综述

Sci. Program. Pub Date : 2021-12-24 DOI:10.1155/2021/6805104
Jiayi Guo, S. Nazir
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引用次数: 7

摘要

随着互联网通信的不断发展和物联网(IoT)的兴起,融合智能制造的技术催生了越来越多的行业和生产线。物联网网络通常通过互联网与不同的设备互联。物联网设备之间的交互形成顺畅和功能性的通信需要数十亿个对象的连接。物联网设备可以与连接世界的节点保存、捕获、共享和分析数据。物联网的各种问题,如监控数据、窃取数据、数据隐私、数据跟踪以及数据的许多其他方面,正在成为现代工业面临的挑战。计算智能在物联网的适当分析、管理和许多不同视角中的作用是突出的。这种计算智能可以以低成本和低时间解决实时问题。物联网为新兴系统可扩展性差、系统集成难、协同运行难等问题提供了解决方案。所提议的研究的影响是对当前与基于可行计算中的智能技术的物联网相关的文献进行了广泛的概述。这项研究考虑了最受欢迎的图书馆的搜索过程,并对迄今为止所做的研究工作进行了分析。该研究的分析和结果支持了该领域的进展,这将有助于研究人员提出新的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Internet of Things Based Intelligent Techniques in Workable Computing: An Overview
With the constant developments in Internet communication and the rise of the Internet of Things (IoT), technologies incorporating intelligent manufacturing have given birth to the growing industry and production lines. The network of IoT is generally interconnected with different devices through the Internet. The interactions of the IoT devices form smooth and functional communication require the connectivity of billions of objects. The devices of IoT can preserve, capture, share, and analyze data with nodes connected to the world. Various issues of the IoT such as monitoring the data, stealing the data, privacy of the data, tracking of the data, and many other aspects of the data are becoming challenges for the modern-day industry. The role of computational intelligence in proper analysis, managing, and many different perspectives of the IoT is prominent. Such computational intelligence can solve real-time problems with low cost and time. The IoT has provided solutions for poor scalability, system integration, and difficulties in coordinated operation across the emerging systems. The influence of the proposed study is to offer a wide-ranging overview of the current literature related to the Internet of Things based on intelligent techniques in workable computing. The study has considered the search process in the most popular libraries and presented an analysis of the research work done so far. The analysis and results of the study support the progress in the field, which will help researchers come up with new solutions.
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