A Review on IoT with Big Data Analytics


Ahmad, Abu Fuad and Sayeed, Md. Shohel and Tan, Choo Peng and Tan, Kim Geok and Bari, Md Ahsanul and Hossain, Ferdous (2021) A Review on IoT with Big Data Analytics. In: 2021 9th International Conference on Information and Communication Technology (ICoICT), 3-5 Aug. 2021, Yogyakarta, Indonesia.

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The Internet of Things (IoT) is a powerful and transformative force for the convergence of the physical and digital world of technology. The IoT is connecting things, businesses, and people in real-time and on a massive scale. The IoT is the network of interconnected devices that contains actuators, sensors, electronics, software and connectivity which lets these things connect, interact and transfer data. Connected devices and software work in ways that produce massive amounts of data where Big Data comes into the picture. The terminology of Big Data represents diverse sets of information that are both very large and complex in nature. Big data offers a better way of managing and using a large amount of data with the opportunity to conduct deeper and richer analysis. Although the extensive number of big data analytics and IoT studies has been performed, the overlapping of the two fields of study creates various possibilities for thriving data analysis in the IoT environment. This paper presents a thorough review of the recent advancement of IoT with big data and analytics. We also make a review of the relationship between these fields. We present a discussion on the application area of IoT and big data analytics as well as the opportunities created by enabling analytics in an IoT system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Internet of things, IoT, Big Data
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering and Technology (FET)
Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 28 Oct 2021 09:31
Last Modified: 28 Oct 2021 09:31
URII: http://shdl.mmu.edu.my/id/eprint/9760


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