IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v14y2022i7p213-d866616.html
   My bibliography  Save this article

A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks

Author

Listed:
  • Thiago C. Jesus

    (Department of Electrical and Computer Engineering (DEEC), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
    Department of Technology, State University of Feira de Santana (DTEC/UEFS), Feira de Santana 44036-900, Brazil)

  • Daniel G. Costa

    (INEGI, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Paulo Portugal

    (INESC-TEC, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Francisco Vasques

    (INEGI, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

Abstract

Wireless visual sensor networks have been adopted in different contexts to provide visual information in a more flexible and distributed way, supporting the development of different innovative applications. Although visual data may be central for a considerable set of applications in areas such as Smart Cities, Industry 4.0, and Vehicular Networks, the actual visual data quality may be not easily determined since it may be associated with many factors that depend on the characteristics of the considered application scenario. This entails several aspects from the quality of captured images (sharpness, definition, resolution) to the characteristics of the networks such as employed hardware, power consumption, and networking efficiency. In order to better support quality analysis and performance comparisons among different wireless visual sensor networks, which could be valuable in many monitoring scenarios, this article surveys this area with special concern on assessment mechanisms and quality metrics. In this context, a novel classification approach is proposed to better categorize the diverse applicable metrics for quality assessment of visual monitoring procedures. Hence, this article yields a practical guide for analyzing different visual sensor network implementations, allowing fairer evaluations and comparisons among a variety of research works. Critical analysis are also performed regarding the relevance and usage of the proposed categories and identified quality metrics. Finally, promising open issues and research directions are discussed in order to guide new developments in this research field.

Suggested Citation

  • Thiago C. Jesus & Daniel G. Costa & Paulo Portugal & Francisco Vasques, 2022. "A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks," Future Internet, MDPI, vol. 14(7), pages 1-26, July.
  • Handle: RePEc:gam:jftint:v:14:y:2022:i:7:p:213-:d:866616
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/14/7/213/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/14/7/213/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samer Hanoun & Asim Bhatti & Doug Creighton & Saeid Nahavandi & Phillip Crothers & Celeste Gloria Esparza, 2016. "Target coverage in camera networks for manufacturing workplaces," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1221-1235, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:14:y:2022:i:7:p:213-:d:866616. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.