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Fully Integrated Data Communication Framework by Using Visualization Augmented Reality for Internet of Things Networks
Big Data ( IF 4.6 ) Pub Date : 2021-08-16 , DOI: 10.1089/big.2020.0282
Kashif Naseer Qureshi 1 , Adi Alhudhaif 2 , Raja Waseem Anwar 3 , Shahid Nazir Bhati 4 , Gwanggil Jeon 5
Affiliation  

The new and integrated area called Internet of Things (IoT) has gained popularity due to its smart, objects, services and affordability. These networks are based on data communication, augmented reality (AR), and wired and wireless infrastructures. The basic objective of these network is data communication, environment monitoring, tracking, and sensing by using smart devices and sensor nodes. The dAR is one of the attractive and advanced areas that is integrated in IoT networks in smart homes and smart industries to convert the objects into 3D to visualize information and provide interactive reality-based control. With attraction, this idea has suffered with complex and heavy processes, computation complexities, network communication degradation, and network delay. This article presents a detailed overview of these technologies and proposes a more convenient and fast data communication model by using edge computing and Fifth-Generation platforms. The article also introduces a Visualization Augmented Reality framework for IoT (VAR-IoT) networks fully integrated by communication, sensing, and actuating features with a better interface to control the objects. The proposed network model is evaluated in simulation in terms of applications response time and network delay and it observes the better performance of the proposed framework.

中文翻译:

使用可视化增强现实的物联网网络完全集成的数据通信框架

称为物联网 (IoT) 的全新集成领域因其智能、对象、服务和可负担性而广受欢迎。这些网络基于数据通信、增强现实 (AR) 以及有线和无线基础设施。这些网络的基本目标是使用智能设备和传感器节点进行数据通信、环境监测、跟踪和传感。dAR 是具有吸引力和先进的领域之一,它集成在智能家居和智能行业的物联网网络中,可将对象转换为 3D 以可视化信息并提供基于现实的交互式控制。由于吸引力,这个想法受到了复杂繁重的过程、计算复杂性、网络通信退化和网络延迟的影响。本文详细介绍了这些技术,并通过使用边缘计算和第五代平台提出了一种更方便快捷的数据通信模型。本文还介绍了一种用于物联网 (VAR-IoT) 网络的可视化增强现实框架,该框架通过通信、传感和执行功能完全集成,并具有更好的界面来控制对象。所提出的网络模型在应用程序响应时间和网络延迟方面进行了仿真评估,并观察到所提出框架的更好性能。并具有更好的界面来控制对象的执行功能。所提出的网络模型在应用程序响应时间和网络延迟方面进行了仿真评估,并观察到所提出框架的更好性能。并具有更好的界面来控制对象的执行功能。所提出的网络模型在应用程序响应时间和网络延迟方面进行了仿真评估,并观察到所提出框架的更好性能。
更新日期:2021-08-17
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