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Hygieia: data quality assessment for smart sensor network

Published: 08 April 2019 Publication History

Abstract

Smart Sensor Networks (SSN) are the core data transmission infrastructure of the Internet of Things. However, SSN devices are resource-constrained and the environment in which the SSN is deployed impose data quality challenges. Data quality refers to the fitness of the data for the data consumer. In this case, mechanisms to assess the data quality for IoT data in network are demanded. In this work we propose Hygieia: a data quality assessment mechanism for constrained SSN devices. Hygieia is designed to impose low memory overhead, low network communication overhead and to not impose a significant delay from its data input to its data quality assessment output. We conducted real node experiments.

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  • (2022)Neighbor-Node Analysis based Min-Max Algorithm to Generate Optimized Route in WSNProceedings of the 2022 Fourteenth International Conference on Contemporary Computing10.1145/3549206.3549310(616-621)Online publication date: 4-Aug-2022
  • (2022)Data quality challenges in large-scale cyber-physical systemsInformation Systems10.1016/j.is.2021.101951105:COnline publication date: 1-Mar-2022
  • (2022)Time-series clustering for sensor fault detection in large-scale Cyber–Physical SystemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2022.109384218:COnline publication date: 9-Dec-2022
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cover image ACM Conferences
SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
April 2019
2682 pages
ISBN:9781450359337
DOI:10.1145/3297280
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 08 April 2019

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Author Tags

  1. data quality
  2. internet of things
  3. smart sensor networks

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Cited By

View all
  • (2022)Neighbor-Node Analysis based Min-Max Algorithm to Generate Optimized Route in WSNProceedings of the 2022 Fourteenth International Conference on Contemporary Computing10.1145/3549206.3549310(616-621)Online publication date: 4-Aug-2022
  • (2022)Data quality challenges in large-scale cyber-physical systemsInformation Systems10.1016/j.is.2021.101951105:COnline publication date: 1-Mar-2022
  • (2022)Time-series clustering for sensor fault detection in large-scale Cyber–Physical SystemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2022.109384218:COnline publication date: 9-Dec-2022
  • (2022)Completeness Assessment and Improvement in Mobile Crowd-Sensing EnvironmentsSN Computer Science10.1007/s42979-022-01104-13:3Online publication date: 10-Apr-2022
  • (2021)A multisensor prediction-based heuristic for the internet of thingsComputing10.1007/s00607-020-00888-5103:6(1105-1120)Online publication date: 1-Jun-2021
  • (2021)Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven ProcessingComputational Science – ICCS 202110.1007/978-3-030-77967-2_33(392-405)Online publication date: 16-Jun-2021
  • (2020)Developing House of Information Quality framework for IoT systemsInternational Journal of System Assurance Engineering and Management10.1007/s13198-020-00989-611:6(1294-1313)Online publication date: 23-May-2020

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