Department of Computer Science, Bahria University, Islamabad, Pakistan.
Department of Computer Science, College of Computer Engineering and Sciences in Al-kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Big Data. 2021 Aug;9(4):253-264. doi: 10.1089/big.2020.0282. Epub 2021 May 14.
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.
新的集成物联网（IoT）领域因其智能、对象、服务和可负担性而受到欢迎。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通过使用智能设备和传感器节点进行数据通信、环境监测、跟踪和感测。dAR 是物联网网络中集成到智能家居和智能工业中的一个有吸引力的先进领域，用于将对象转换为 3D 以可视化信息并提供基于交互的现实控制。尽管具有吸引力，但这个想法存在复杂和繁重的过程、计算复杂性、网络通信降级和网络延迟等问题。本文详细概述了这些技术，并通过边缘计算和第五代平台提出了一种更方便、快速的数据通信模型。本文还介绍了一个完全集成通信、传感和执行功能的物联网增强现实（VAR-IoT）网络的可视化框架，具有更好的控制对象的接口。所提出的网络模型在仿真中针对应用程序的响应时间和网络延迟进行了评估，结果表明所提出的框架具有更好的性能。
