Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks

IF 1.9 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI:10.1177/15501477211062835

K. Seng, L. Ang, Ericmoore Ngharamike

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引用次数: 12

Abstract

The advances and convergence in sensor, information processing, and communication technologies have shaped the Internet of Things of today. The rapid increase of data and service requirements brings new challenges for Internet of Thing. Emerging technologies and intelligent techniques can play a compelling role in prompting the development of intelligent architectures and services in Internet of Things to form the artificial intelligence Internet of Things. In this article, we give an introduction and review recent developments of artificial intelligence Internet of Things, the various artificial intelligence Internet of Things computational frameworks and highlight the challenges and opportunities for effective deployment of artificial intelligence Internet of Things technology to address complex problems for various applications. This article surveys the recent developments and discusses the convergence of artificial intelligence and Internet of Things from four aspects: (1) architectures, techniques, and hardware platforms for artificial intelligence Internet of Things; (2) sensors, devices, and energy approaches for artificial intelligence Internet of Things; (3) communication and networking for artificial intelligence Internet of Things; and (4) applications for artificial intelligence Internet of Things. The article also discusses the combination of smart sensors, edge computing, and software-defined networks as enabling technologies for the artificial intelligence Internet of Things.

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人工智能物联网:分布式传感器网络的新范式

传感器、信息处理和通信技术的进步和融合塑造了今天的物联网。数据和服务需求的快速增长给物联网带来了新的挑战。新兴技术和智能技术可以在推动物联网智能架构和服务的发展方面发挥引人注目的作用，形成人工智能物联网。在这篇文章中，我们介绍和回顾了人工智能物联网的最新发展，各种人工智能物联计算框架，并强调了有效部署人工智能物链技术以解决各种应用的复杂问题的挑战和机遇。本文从四个方面综述了人工智能和物联网的最新发展，并讨论了人工智能与物联网的融合：（1）人工智能物联网的体系结构、技术和硬件平台；（2）人工智能物联网的传感器、设备和能源方法；（3）人工智能物联网的通信和联网；以及（4）人工智能物联网应用。文章还讨论了智能传感器、边缘计算和软件定义网络的结合，作为人工智能物联网的赋能技术。

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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来源期刊

International Journal of Distributed Sensor Networks 工程技术-电信学

CiteScore

6.50

自引率

4.30%

发文量

审稿时长

3.6 months

期刊介绍： International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.