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

Mohsen Marjani, Fariza Nasaruddin, Abdullah Gani, Ahmad Karim, Ibrahim Abaker Targio Hashem, Aisha Siddiqa, Ibrar Yaqoob

Research output: Contribution to journalArticlepeer-review

685 Scopus citations

Abstract

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.

Original languageBritish English
Article number7888916
Pages (from-to)5247-5261
Number of pages15
JournalIEEE Access
Volume5
DOIs
StatePublished - 2017

Keywords

  • Big data
  • data analytics
  • distributed computing
  • Internet of Things
  • smart city

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