Big data applications on the Internet of Things: A systematic literature review

Ulkar Ahmadova, Mustafa Mustafayev, Behnam Kiani Kalejahi, Saeed Saeedvand, Amir Masoud Rahmani*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The Internet of Things (IoT) is a system of physical objects embedded with various sensors to receive information, software, chips, and other technologies that allow connecting and transferring data to other devices through the Internet without human intervention. As the number of smart devices increase, IoT has started to be applied in many more fields. Therefore, there is a lot of information that should be processed. To manage this amount of data, some researchers proposed the usage of big data techniques. Big data are a collection of structured and unstructured data incoming with a high speed and large amounts. This paper investigates big data applications in IoT to comprehend the different published approaches using the systematic literature review (SLR) technique. This paper systematically studies the latest research methods on big data in IoT approaches published between 2016 and August 2021. A methodical taxonomy is shown for big data in IoT-related fields consistent with the content of existing articles chosen with the SLR process in this research like healthcare, smart city, algorithms, industry, and general aspects in those environments. The advantages and drawbacks of each paper are presented, with specific proposals for stating their pros and cons open issues and advising possible research challenges in big data implementation in the IoT. The evaluation factors of big data applications in IoT are distributed as follows: security (18%), throughput (17%), cost (17%), energy consumption (15%), reliability (15%), response time (9%), and availability (9%).

Original languageEnglish
Article numbere5004
JournalInternational Journal of Communication Systems
Volume34
Issue number18
DOIs
Publication statusPublished - 2021 Dec
Externally publishedYes

Keywords

  • application
  • big data
  • healthcare
  • Internet of Things
  • machine learning
  • smart city

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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