物联网、5G移动网络和人工智能的未来趋势:挑战、机遇和解决方案

Ji Su Park, J. Park
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引用次数: 13

摘要

物联网(IoT)是与人工智能(AI)技术一起发展起来的技术。最近,利用从传感器数据收集的信息开发知识服务的案例越来越多。连接物联网和人工智能需要通信,最近5G移动网络已经广泛普及。可以配置物联网、人工智能服务和5G移动网络作为传感器-移动边缘服务器。传感器不直接向服务器发送数据。相反,传感器将数据发送到移动边缘进行快速处理。随后,移动边缘可以基于AI技术或通过将数据发送到服务器进行处理来实现数据的即时处理。这种数据传输采用了5G移动网络技术。因此,本研究考察了每种技术所面临的挑战、机遇和解决方案。为此,本研究涉及聚类、Hyperledger Fabric、数据、安全、机器视觉、卷积神经网络、物联网和5G移动网络资源。技术、基于Hyperledger Fabric的数字证据管理模型、基于机器视觉的飞机识别、基于CNN模型的投票和集成系统、分层语义裁剪和句子提取、n步滑动递归公式、提高无线传感器网络寿命的路由协议、风力发电机叶片故障诊断、变体恶意软件检测技术、5G移动网络资源管理、b区块链在多个金融服务领域的应用。描述了来自学术界和工业界的未来和热点问题。本工作的主要目的是为研究者快速提供热点和潮流研究。基于停留点空间聚类技术的研究基于Hyperledger Fabric的数字证据管理模型基于机器视觉的飞机识别;基于CNN模型的投票集成系统;分层语义裁剪与句子提取;n步滑动递推公式;用于改善无线传感器网络寿命的路由协议;风力发电机叶片故障诊断变种恶意软件检测技术;5G移动网络资源管理;b区块链在金融服务多个领域的应用,等等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Future Trends of IoT, 5G Mobile Networks, and AI: Challenges, Opportunities, and Solutions
Internet of Things (IoT) is a growing technology along with artificial intelligence (AI) technology. Recently, increasing cases of developing knowledge services using information collected from sensor data have been reported. Communication is required to connect the IoT and AI, and 5G mobile networks have been widely spread recently. IoT, AI services, and 5G mobile networks can be configured and used as sensor-mobile edge-server. The sensor does not send data directly to the server. Instead, the sensor sends data to the mobile edge for quick processing. Subsequently, mobile edge enables the immediate processing of data based on AI technology or by sending data to the server for processing. 5G mobile network technology is used for this data transmission. Therefore, this study examines the challenges, opportunities, and solutions used in each type of technology. To this end, this study addresses clustering, Hyperledger Fabric, data, security, machine vision, convolutional neural network, IoT and resource of 5G mobile networks. technology, digital evidence management model based on Hyperledger Fabric, aircraft recognition using machine vision, CNN model-based voting and ensemble system, hierarchical semantic clipping and sentence extraction, N-step sliding recursion formula, routing protocol for improving the lifetime of a wireless sensor network, fault diagnosis of wind power generator blade, variant malware detection techniques, resource management in 5G mobile networks, and application of blockchain in multiple fields of financial services. Futuristic and hot-issue topics from the academe and industries are described. The work mainly aims to provide hot and trendy research to researchers rapidly. stay point spatial clustering based technology; digital evidence management model based on Hyperledger Fabric; aircraft recognition using machine vision; CNN model-based voting and ensemble system; hierarchical semantic clipping and sentence extraction; N-step sliding recursion formula; routing protocol for improving the lifetime of a wireless sensor network; fault diagnosis of wind power generator blade; variant malware detection techniques; resource management in 5G mobile networks; application of blockchain in multiple fields of financial services, and so on.
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