M. H. Widianto, Ardiles Sinaga, Maria Artanta Ginting
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引用次数: 6

摘要

人工智能(AI)最近被频繁使用,特别是在物联网(IoT)方面。然而,物联网设备不能单独工作,远距离通信需要低功率广域网(LPWAN)的辅助,短距离通信需要短距离网络的辅助。然而,关于人工智能可以帮助LPWAN和短距离网络的评论很少。因此,作者借此机会做了这篇综述。本研究旨在回顾LPWAN和短距离网络在系统提高物联网性能方面的人工智能论文。审查还用于系统地最大化LPWAN系统和短距离网络,以提高物联网质量,并讨论可应用于特定范围的结果。作者利用选定的报告项目进行系统评价和荟萃分析(PRISMA)。作者对所有研究结果进行了系统回顾,以支持作者的目标。此外,作者还确定了发展和相关的学习机会。笔者在本次系统综述中发现79篇合适的论文,对已发表的论文进行讨论。一些技术得到了广泛的应用,例如一般的LPWAN,有几篇论文来自中国。去年会议的许多报告和与此相关的论文都是2020-2021年的。该研究有望在寻找相关科学论文的实验研究中得到启发,并成为另一篇综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things
Artificial intelligence (AI) has recently been used frequently, especially concerning the Internet of Things (IoT). However, IoT devices cannot work alone, assisted by Low Power Wide Area Network (LPWAN) for long-distance communication and Short-Range Network for a short distance. However, few reviews about AI can help LPWAN and Short-Range Network. Therefore, the author took the opportunity to do this review. This study aims to review LPWAN and Short-Range Networks AI papers in systematically enhancing IoT performance. Reviews are also used to systematically maximize LPWAN systems and Short-Range networks to enhance IoT quality and discuss results that can be applied to a specific scope. The author utilizes selected reporting items for systematic review and meta-analysis (PRISMA). The authors conducted a systematic review of all study results in support of the authors' objectives. Also, the authors identify development and related study opportunities. The author found 79 suitable papers in this systematic review, so a discussion of the presented papers was carried out. Several technologies are widely used, such as LPWAN in general, with several papers originating from China. Many reports from conferences last year and papers related to this matter were from 2020-2021. The study is expected to inspire experimental studies in finding relevant scientific papers and become another review.
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CiteScore
6.30
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