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A Multidimensional Model of Wireless Sensor Data Quality

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 579))

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Abstract

This article presents a multidimensional model of WSN data quality that links the types of errors with the methods for their detection and correction. The designed model aims to support the wireless sensor network management. It provides a possibility to monitor the status of the network regarding the sensor data quality indicators and to predict the future development of the network.

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References

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Acknowledgements

This article is supported by the Scientific Infrastructure Project (D01-222/22.10.2021), by the Bulgarian Ministry of Education and Science.

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Authors and Affiliations

  1. Institute of Mathematics and Informatics—Bulgarian Academy of Sciences, Sofia, Bulgaria

    Zlatinka Kovacheva, Ina Naydenova, Kalinka Kaloyanova & Stoyan Poryazov

  2. University of Mining and Geology “St. Ivan Rilski”, Sofia, Bulgaria

    Zlatinka Kovacheva

  3. Sofia University “St. Kliment Ohridski”, Sofia, Bulgaria

    Kalinka Kaloyanova

Authors
  1. Zlatinka Kovacheva
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  2. Ina Naydenova
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  3. Kalinka Kaloyanova
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  4. Stoyan Poryazov
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Corresponding author

Correspondence to Zlatinka Kovacheva .

Editor information

Editors and Affiliations

  1. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. Department of Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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Kovacheva, Z., Naydenova, I., Kaloyanova, K., Poryazov, S. (2023). A Multidimensional Model of Wireless Sensor Data Quality. In: Nagar, A.K., Singh Jat, D., Mishra, D.K., Joshi, A. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-19-7663-6_5

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