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

Author

Listed:
  • Shabnam Shadroo

    (Islamic Azad University)

  • Amir Masoud Rahmani

    (National Yunlin University of Science and Technology)

  • Ali Rezaee

    (Islamic Azad University)

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.

Suggested Citation

  • Shabnam Shadroo & Amir Masoud Rahmani & Ali Rezaee, 2022. "Survey on the application of deep learning in the Internet of Things," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(4), pages 601-627, April.
    • Handle: RePEc:spr:telsys:v:79:y:2022:i:4:d:10.1007_s11235-021-00870-2
    DOI: 10.1007/s11235-021-00870-2
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    Cited by:

    1. Dengao Li & Yongxin Wen & Shuang Xu & Qiang Wang & Ruiqin Bai & Jumin Zhao, 2022. "EDChannel: channel prediction of backscatter communication network based on encoder-decoder," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(1), pages 99-114, September.

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