A comprehensive and systematic literature review on the big data management techniques in the internet of things
Loading...
Files
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
The Internet of Things (IoT) is a communication paradigm and a collection of heterogeneous interconnected devices. It produces large-scale distributed, and diverse data called big data. Big Data Management (BDM) in IoT is used for knowledge discovery and intelligent decision-making and is one of the most significant research challenges today. There are several mechanisms and technologies for BDM in IoT. This paper aims to study the important mechanisms in this area systematically. This paper studies articles published between 2016 and August 2022. Initially, 751 articles were identified, but a paper selection process reduced the number of articles to 110 significant studies. Four categories to study BDM mechanisms in IoT include BDM processes, BDM architectures/frameworks, quality attributes, and big data analytics types. Also, this paper represents a detailed comparison of the mechanisms in each category. Finally, the development challenges and open issues of BDM in IoT are discussed. As a result, predictive analysis and classification methods are used in many articles. On the other hand, some quality attributes such as confidentiality, accessibility, and sustainability are less considered. Also, none of the articles use key-value databases for data storage. This study can help researchers develop more effective BDM in IoT methods in a complex environment.
Description
Keywords
Data Analytics Architecture, Social Internet, Smart Cities, Iot Data, Resource-Allocation, Framework, Cloud, Optimization, Performance, Algorithm, Data Analytics Architecture, Social Internet, Smart Cities, Iot Data, Resource-Allocation, Framework, Cloud, Big data management, Optimization, Internet of things, Performance, Knowledge discovery, Algorithm, Systematic literature review (SLR)
Turkish CoHE Thesis Center URL
Fields of Science
Citation
10
WoS Q
N/A
Scopus Q
Q2
Source
Wireless Networks
Volume
29
Issue
3
Start Page
1085
End Page
1144