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Academic Journal of Computing & Information Science, 2024, 7(1); doi: 10.25236/AJCIS.2024.070107.

A Study of Big Data-based Dynamic Monitoring Methods for the Internet of Things


Yuqiang Tan, Yanbin Long

Corresponding Author:
Yuqiang Tan

University of Science and Technology Liaoning, Anshan, China


Big data technology, a powerful tool for data processing and analysis, offers innovative ideas and methods for the dynamic monitoring of the Internet of Things (IoT). This paper introduces a dynamic monitoring method and system for IoT based on big data, which can be widely utilized in various fields such as smart homes, intelligent transportation, industrial production, medical care, and more. For instance, in smart homes, it can promptly identify and address issues with dynamic home appliances by monitoring their operational status and sensor data. In smart transportation, it can identify traffic congestion, accidents and other dynamic situations by monitoring traffic signals, vehicle traffic, and other relevant data, enabling prompt traffic guidance and rescue efforts. These big data-based IoT dynamic monitoring methods and systems offer high accuracy and real-time capabilities, effectively managing IoT devices. As IoT technology continues to develop, the application of big data technology in IoT dynamic monitoring will become increasingly widespread.


big data, internet of things, dynamic monitoring

Cite This Paper

Yuqiang Tan, Yanbin Long. A Study of Big Data-based Dynamic Monitoring Methods for the Internet of Things. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 1: 42-51. https://doi.org/10.25236/AJCIS.2024.070107.


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