A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things

Mochammad Haldi Widianto, Ardiles Sinaga, Maria Artanta Ginting

Abstract


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.

Keywords


Artificial Intelligence (AI); Internet of Things (IoT); Low Power Wide Area Network (LPWAN); Preferred reporting items for systematic reviews and meta-analyses (PRISMA); Short-Range Network

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References


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DOI: https://doi.org/10.18196/jrc.v3i4.15419

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