skip to main content
10.1145/3616392.3623407acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Asclepius: Data Quality Framework for IoT

Published: 30 October 2023 Publication History

Abstract

This work addresses challenges in IoT data quality management. IoT applications in domains like Smart Cities, Smart Healthcare, and Industry 4.0 rely on the Internet for automated services. However, resource limitations and harsh environments of IoT devices raise hardware integrity concerns. IoT data encompasses characteristics like data types, sampling rates, intervals, and specific tasks and states. Since IoT data is not always tied to specific application contexts, managing data quality is crucial to meet diverse application requirements. Asclepius, a data quality framework for IoT infrastructure, is introduced. It comprises software components deployed on IoT devices based on their roles, ensuring interoperability and standardized interfaces. Asclepius serves as a data quality backbone, facilitating reliable data transportation and routing while meeting application requirements. Real device implementation of part of our proposal. The practical incorporation of a segment is present as tangible proof, substantiating its efficacy through real-world device deployment and assessment.

References

[1]
Rawhi Alrae, Qassim Nasir, and Manar Abu Talib. 2020. Developing House of Information Quality framework for IoT systems. International Journal of System Assurance Engineering and Management (2020), 1--20.
[2]
Fernandes Nicole Ann and Rupali Wagh. 2019. Quality assurance in big data analytics: An IoT perspective. Telfor Journal, Vol. 11, 2 (2019), 114--118.
[3]
G. Aquino, L. Pirmez, C. M. de Farias, F. C. Delicato, and P. F. Pires. 2016. Hephaestus: A multisensor data fusion algorithm for multiple applications on wireless sensor networks. In 2016 19th International Conference on Information Fusion (FUSION). 59--66.
[4]
Luigi Atzori, Antonio Iera, and Giacomo Morabito. 2010. The internet of things: A survey. Computer networks, Vol. 54, 15 (2010), 2787--2805.
[5]
S Balaji, Karan Nathani, and R Santhakumar. 2019. IoT technology, applications and challenges: a contemporary survey. Wireless personal communications, Vol. 108, 1 (2019), 363--388.
[6]
Phillip Cykana, Alta Paul, and Miranda Stern. 1996. DoD Guidelines on Data Quality Management. In IQ.
[7]
Gabriel R Caldas de Aquino. [n.,d.]. GitHub - gabrielrca/hygieia: Codes for Hygieia -- github.com. https://github.com/gabrielrca/hygieia. [Accessed 29-May-2023].
[8]
Claudio de Farias, Henrique Soares, Luci Pirmez, Flávia Delicato, Igor Santos, Luiz Fernando Carmo, José de Souza, Albert Zomaya, and Mischa Dohler. 2014. A control and decision system for smart buildings using wireless sensor and actuator networks. Trans. on Emerging Telecom. Technologies, Vol. 25, 1 (2014), 120--135.
[9]
Claudio M de Farias, Luci Pirmez, Flavia Coimbra Delicato, Igor L Dos Santos, and Albert Y Zomaya. 2012. Information fusion techniques applied to Shared Sensor and Actuator Networks. In Local Computer Networks (LCN), 2012 IEEE 37th Conference on. IEEE, 188--191.
[10]
Joseph A De Feo. 2017. Juran's quality handbook: The complete guide to performance excellence. McGraw-Hill Education.
[11]
M. H. DeGroot and M. J. Schervish. 2012. Probability and statistics. Pearson.
[12]
F. Z. Djiroun and D. Djenouri. 2017. MAC Protocols With Wake-Up Radio for Wireless Sensor Networks: A Review. IEEE Communications Surveys Tutorials, Vol. 19, 1 (Firstquarter 2017), 587--618. https://doi.org/10.1109/COMST.2016.2612644
[13]
Abdel-A Edris and Brian W D'Andrade. 2017. Transmission Grid Smart Technologies. In The Power Grid. Elsevier, 37--55.
[14]
Eija Ferreira and Denzil Ferreira. 2017. Towards altruistic data quality assessment for mobile sensing. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. ACM, 464--469.
[15]
Li Gao, Zengwei Zheng, and Meimei Huo. 2018. Improvement of RPL protocol algorithm for smart grid. In 2018 IEEE 18th International Conference on Communication Technology (ICCT). IEEE, 927--930.
[16]
ISO. 2015. ISO 9000:2015 Quality management systems - Fundamentals and vocabulary. Standard. International Organization for Standardization, Geneva, CH.
[17]
ISO. 2016. ISO 8000--61 - Data quality -- Part 61: Data quality management: Process reference model. Standard. International Organization for Standardization, Geneva, CH.
[18]
Ivan Izonin, Roman Tkachenko, Volodymyr Verhun, and Khrystyna Zub. 2020. An approach towards missing data management using improved GRNN-SGTM ensemble method. Engineering Science and Technology, an International Journal (2020).
[19]
Mohd Javaid, Abid Haleem, Raju Vaishya, Shashi Bahl, Rajiv Suman, and Abhishek Vaish. 2020. Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, Vol. 14, 4 (2020), 419--422.
[20]
Mohd Javaid and Ibrahim Haleem Khan. 2021. Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic. Journal of Oral Biology and Craniofacial Research, Vol. 11, 2 (2021), 209--214.
[21]
Aimad Karkouch, Hajar Mousannif, Hassan Al Moatassime, and Thomas Noel. 2016. Data quality in internet of things: A state-of-the-art survey. Journal of Network and Computer Applications, Vol. 73 (2016), 57--81.
[22]
Nasr Kasrin, Aboubakr Benabbas, Golnaz Elmamooz, Daniela Nicklas, Simon Steuer, and Michael Sünkel. 2021. Data-sharing markets for integrating IoT data processing functionalities. CCF Transactions on Pervasive Computing and Interaction, Vol. 3, 1 (2021), 76--93.
[23]
Alan G Labouseur and Carolyn C Matheus. 2017. An introduction to dynamic data quality challenges. Journal of Data and Information Quality (JDIQ), Vol. 8, 2 (2017), 6.
[24]
Caihua Liu, Patrick Nitschke, Susan P Williams, and Didar Zowghi. 2020. Data quality and the Internet of Things. Computing, Vol. 102, 2 (2020), 573--599.
[25]
Y. Liu, T. Dillon, W. Yu, W. Rahayu, and F. Mostafa. 2020. Missing Value Imputation for Industrial IoT Sensor Data With Large Gaps. IEEE Internet of Things Journal, Vol. 7, 8 (2020), 6855--6867. https://doi.org/10.1109/JIOT.2020.2970467
[26]
Tie Luo, Jianwei Huang, Salil S Kanhere, Jie Zhang, and Sajal K Das. 2019. Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. IEEE Internet of Things Journal (2019).
[27]
I. P. S. Mary and L. Arockiam. 2017. Imputing the missing data in IoT based on the spatial and temporal correlation. In 2017 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC). 1--4. https://doi.org/10.1109/ICCTAC.2017.8249990
[28]
Richard G Mathieu and Omar Khalil. 1998. Data quality in the database systems course. Data Quality Journal, Vol. 4, 1 (1998), 1--12.
[29]
Eduardo F Nakamura, Antonio AF Loureiro, and Alejandro C Frery. 2007. Information fusion for wireless sensor networks: Methods, models, and classifications. ACM Computing Surveys (CSUR), Vol. 39, 3 (2007), 9.
[30]
Ricardo Perez-Castillo, Ana G Carretero, Moises Rodriguez, Ismael Caballero, Mario Piattini, Alejandro Mate, Sunho Kim, and Dongwoo Lee. 2018. Data quality best practices in IoT environments. In 2018 11th International Conference on the Quality of Information and Communications Technology (QUATIC). IEEE, 272--275.
[31]
Rajeev Piyare and Seong Ro Lee. 2013. Towards internet of things (iots): Integration of wireless sensor network to cloud services for data collection and sharing. arXiv preprint arXiv:1310.2095 (2013).
[32]
Y Recommendation. 2012. 2060 «overview of internet of thingsguillemotright. ITU-T, Geneva (2012).
[33]
Mustafa Al Samara, Ismail Bennis, Abdelhafid Abouaissa, and Pascal Lorenz. 2022. A survey of outlier detection techniques in IoT: review and classification. Journal of Sensor and Actuator Networks, Vol. 11, 1 (2022), 4.
[34]
ITU Telecommunication Standardization Sector. 2012. Recommendation ITU-T Y. 2060: Overview of the Internet of things. Series Y: Global information infrastructure, internet protocol aspects and next-generation networks-Frameworks and functional architecture models (2012).
[35]
Abhishek Singh, Ashish Payal, and Sourabh Bharti. 2019. A walkthrough of the emerging IoT paradigm: Visualizing inside functionalities, key features, and open issues. Journal of Network and Computer Applications, Vol. 143 (2019), 111--151. https://doi.org/10.1016/j.jnca.2019.06.013
[36]
Toby Teorey, Sam Lightstone, Tom Nadeau, and H.V. Jagadish. 2011. 1 - Introduction. In Database Modeling and Design (Fifth Edition) fifth edition ed.), Toby Teorey, Sam Lightstone, Tom Nadeau, and H.V. Jagadish (Eds.). Morgan Kaufmann, Boston, 1--11. https://doi.org/10.1016/B978-0--12--382020--4.00001-X
[37]
Roman Tkachenko, Ivan Izonin, Natalia Kryvinska, Ivanna Dronyuk, and Khrystyna Zub. 2020. An approach towards increasing prediction accuracy for the recovery of missing IoT data based on the GRNN-SGTM ensemble. Sensors (2020).
[38]
Feby A Vinisha and L Sujihelen. 2022. Study on Missing Values and Outlier Detection in Concurrence with Data Quality Enhancement for Efficient Data Processing. In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE, 1600--1607.

Index Terms

  1. Asclepius: Data Quality Framework for IoT

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    DIVANet '23: Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications
    October 2023
    129 pages
    ISBN:9798400703690
    DOI:10.1145/3616392
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 October 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. data quality
    2. internet of things

    Qualifiers

    • Research-article

    Funding Sources

    • FAPERJ

    Conference

    MSWiM '23
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 70 of 308 submissions, 23%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 68
      Total Downloads
    • Downloads (Last 12 months)36
    • Downloads (Last 6 weeks)7
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media