Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

By Fariza Hanum Binti Md Nasaruddin, Abdullah Bin Gani, Ahmad Karim, Ibrahim Abaker Targio Hashem, Aisha Siddiqa, Ibrar Yaqoob. 2017

798 citations recorded by the source corpus.

Voluminous amounts of data have been produced, since the past decade as the miniaturization of Internet of things (IoT) devices increases. However, such data are not useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices. However, these solutions are still in their infancy, and the domain lacks a comprehensive survey. This paper investigates the state-of-the-art research efforts directed toward big IoT data analytics. The relationship between big data analytics and IoT is explained. Moreover, this paper adds value by proposing a new architecture for big IoT data analytics. Furthermore, big IoT data analytic types, methods, and technologies for big data mining are discussed. Numerous notable use cases are also presented. Several opportunities brought by data analytics in IoT paradigm are then discussed. Finally, open research challenges, such as privacy, big data mining, visualization, and integration, are presented as future research directions.

Subfields: Artificial Intelligence, Computer Networks and Communications, Management Information Systems

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Citations in the corpus

Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “In this regard, authors in [39, 40] discussed the connection between IoT and big data analytics, and provided a survey on the existing research attempts in the domain of big IoT data analytics.”
A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration (2018, background): “r, the types of wireless connectivity that can be used, or security and privacy solutions, just to name a few. While there have been several surveys covering different aspects of the IoT architecture [6, 41, 49, 50, 72, 92, 104], the specific issues of communication protocols in the application laye”
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “Authors in [167], [168] and [169] have identiﬁed the challenges of implementing big data analytics in H-IoT and IoT in general.”
The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies (2020, background): “Of the 32 papers included, five papers used the Open Systems Interconnection (OSI) model as the underlying logic (Akhbar, Chang, Yao, & Muñoz, 2016; Da Xu, He, & Li, 2014; Jin, Gubbi, Marusic, & Palaniswami, 2014; Marjani et al., 2017; Tsai, Lai, & Vasilakos, 2014).”
Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022, background): “This huge data volume has facilitated the world of big data [19].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “in which the electricity between suppliers and consumers is handled smartly to improve efficiency, safety and real-time monitoring [66]–[68].”
Internet of Things and Big Data as enablers for business digitalization strategies (2020, background): “This profusion has given rise to wearables, smart home applications, advanced health care systems, “ smart cities ” and industrial automation (Chen and Ji, 2016; Marjani et al., 2017).”
A Review on the Use of Blockchain for the Internet of Things (2018, background): “Some IoT applications [43], [44] may need to keep a record of every transaction to maintain traceability, for auditing purposes or because Big Data techniques will be applied later [45], [46].”
Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management (2019, background): “Furthermore, Marjani et al. [62] assert that some IoT systems lack a service level agreement to protect personally identiﬁable information (PII) demanded by privacy laws.”
An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges (2018, methodology): “There are several DA methods which has been discussed in detail in [95].”
The Role of Big Data Analytics in Industrial Internet of Things (2019, positive): “Although IIoT [19–24] and BDA [13, 25–31] have been widely studied separately, only a few studies including [32] have explored the convergence of the two domains.”