The Internet of Things (IoT) is an emerging information technology model and a dynamic network that enables interaction between self-configuring, smart, and interconnected devices and humans. This study can help researchers develop more effective BDM in IoT methods in a complex environment. Also, none of the articles use key-value databases for data storage. On the other hand, some quality attributes such as confidentiality, accessibility, and sustainability are less considered. As a result, predictive analysis and classification methods are used in many articles. Finally, the development challenges and open issues of BDM in IoT are discussed. Also, this paper represents a detailed comparison of the mechanisms in each category. 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. This paper studies articles published between 2016 and August 2022. This paper aims to study the important mechanisms in this area systematically. There are several mechanisms and technologies for BDM in IoT. 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. It produces large-scale distributed, and diverse data called big data. The Internet of Things (IoT) is a communication paradigm and a collection of heterogeneous interconnected devices.
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