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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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IoT data analytics architecture for smart healthcare using RFID and WSN

  • Ogur, Nur Banu (Internet of Things Research Laboratory, Department of Computer Engineering, Faculty of Computer and Information Sciences, Sakarya University) ;
  • Al-Hubaishi, Mohammed (Internet of Things Research Laboratory, Department of Computer and Information Engineering, Institute of Natural Sciences, Sakarya University) ;
  • Ceken, Celal (Internet of Things Research Laboratory, Department of Computer Engineering, Faculty of Computer and Information Sciences, Sakarya University)
  • Received : 2020.02.11
  • Accepted : 2021.05.04
  • Published : 2022.02.01
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Abstract

The importance of big data analytics has become apparent with the increasing volume of data on the Internet. The amount of data will increase even more with the widespread use of Internet of Things (IoT). One of the most important application areas of the IoT is healthcare. This study introduces new real-time data analytics architecture for an IoT-based smart healthcare system, which consists of a wireless sensor network and a radio-frequency identification technology in a vertical domain. The proposed platform also includes high-performance data analytics tools, such as Kafka, Spark, MongoDB, and NodeJS, in a horizontal domain. To investigate the performance of the system developed, a diagnosis of Wolff-Parkinson-White syndrome by logistic regression is discussed. The results show that the proposed IoT data analytics system can successfully process health data in real-time with an accuracy rate of 95% and it can handle large volumes of data. The developed system also communicates with a riverbed modeler using Transmission Control Protocol (TCP) to model any IoT-enabling technology. Therefore, the proposed architecture can be used as a time-saving experimental environment for any IoT-based system.

Keywords

Acknowledgement

The authors would like to acknowledge that this work is supported by the Internet of Things Research Laboratory at Sakarya University (http://www.iotlab.sakarya.edu.tr).

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