To verify the correctness of IoT sensor data in real-time

Anh Lan Nguyen, Eiji Kamioka, Toan Nguyen-Duc

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Internet of things (IoT) systems are collecting an enormous amount of sensor data which in turn play a critical role in their decision-making process. However, the more sensor data are collected, the higher probability the faulty data occurs. The existence of faulty data may drive any system to make incorrect decisions and actions. It is clear that the faulty data should be detected and corrected as earlier as possible. In other words, the sensor data should be verified in the collecting steps. To best of our knowledge, the sensor data verification in the collecting process has not been well investigated. This research proposes a framework to address this issue right before the sensor data are stored. The verification makes use of a data forecasting technique to estimate the correct range of values for each received point of sensor data. The proposed system was implemented on a real test-bed on a Raspberry Pi 3. The experimental results show the proposed system can detect and correct faulty sensor data in less than 50ms. The accuracy of the proposed method is eighty five percent on average.

Original languageEnglish
Title of host publicationProceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019
EditorsVo Nguyen Quoc Bao, Tran Thien Thanh
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages479-484
Number of pages6
ISBN (Electronic)9781728136790
DOIs
Publication statusPublished - 2019 Nov
Event25th Asia-Pacific Conference on Communications, APCC 2019 - Ho Chi Minh City, Viet Nam
Duration: 2019 Nov 62019 Nov 8

Publication series

NameProceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019

Conference

Conference25th Asia-Pacific Conference on Communications, APCC 2019
CountryViet Nam
CityHo Chi Minh City
Period19/11/619/11/8

Keywords

  • Data Forecasting
  • Internet of Things

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Fingerprint Dive into the research topics of 'To verify the correctness of IoT sensor data in real-time'. Together they form a unique fingerprint.

  • Cite this

    Nguyen, A. L., Kamioka, E., & Nguyen-Duc, T. (2019). To verify the correctness of IoT sensor data in real-time. In V. N. Q. Bao, & T. T. Thanh (Eds.), Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019 (pp. 479-484). [9026398] (Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCC47188.2019.9026398