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Survey on the application of deep learning in the Internet of Things

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Abstract

The Internet of Things (IoT) is a network of physical instruments, software, and sensors connected to the Internet. The IoT produces massive data, where this enormous volume of data allows the use of deep learning algorithms. The recent upgrade of the hardware boosting the computational power has resulted in utilizing deep learning alongside the IoT. Therefore, the present research aims to review the relevant conference and journal articles in IoT and deep learning from 2012 to August 2021. A composition of Systematic Mapping Study and Systematic Literature Review has been employed to review the publications for creating a survey paper. Accordingly, some questions have been raised; 36 studies have been investigated to answer these questions. The studies have been categorized into four sections, focusing on data management, network, computing environment, and applications, each being examined and analyzed. This article would be beneficial for researchers who want to investigate the field of deep learning and IoT.

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Authors and Affiliations

  1. Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Shabnam Shadroo & Ali Rezaee

  2. Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan

    Amir Masoud Rahmani

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  1. Shabnam Shadroo
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  2. Amir Masoud Rahmani
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Shadroo, S., Rahmani, A.M. & Rezaee, A. Survey on the application of deep learning in the Internet of Things. Telecommun Syst 79, 601–627 (2022). https://doi.org/10.1007/s11235-021-00870-2

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