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A Study On IoT Data Consistency in IoT Environment

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(5), pp.127-132
  • DOI : 10.20465/KIOTS.2022.8.5.127
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : August 24, 2022
  • Accepted : October 18, 2022
  • Published : October 31, 2022

Choi, ChangWon 1

1한신대학교

Accredited

ABSTRACT

As the IoT technology is more developed, it is more important for the accuracy of IoT data. Since the IoT data supports a different formats and protocols, it is often happened that the IoT system is failed or the incorrect data is generated with the unreliable IoT devices(sensor, actuator). Because the abnormality of IoT device or the user situation is not detected correctly, this problem makes the user to be unsatisfied with the IoT system. This study proposes the decision methodology of IoT data consistency whether the IoT data is generated in normal range or not by using the mathematical functions(‘gradient descent function’ and ‘linear regression function’). It may be concluded that the gradient function method is suitable for the IoT data which the ‘increasing velocity’ is related with the next generated pattern(eg. sensor devices), the linear regression function method is suitable for the IoT data which the ‘the difference from linear regression function’ is related with the next generated pattern in case the data has a linear pattern(eg. water meter, electric meter).

Citation status

* References for papers published after 2023 are currently being built.