IDEAS home Printed from https://ideas.repec.org/a/igg/jaci00/v9y2018i4p1-14.html
   My bibliography  Save this article

An Intelligent Wireless QoS Technology for Big Data Video Delivery in WLAN

Author

Listed:
  • Dharm Singh Jat

    (Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia)

  • Lal Chand Bishnoi

    (Government Polytechnic College, Bikaner, India)

  • Shoopala Nambahu

    (Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia)

Abstract

With the development of internet technologies and applications, video becomes the main source of online generated data. Real-time generated big data video on the internet have many challenges, which include broadcast, evaluation, storage, analysis, and transmission. For multimedia applications, processing and communication are important areas to realizing ambient intelligence and Quality of Service (QoS) is a major challenge for designing and implementation of processing and communication of multimedia traffic. In this study, simulation results have verified the possibility and effectiveness of the developed intelligent wireless QoS technology in terms of big data video communication over a Wireless Local Area Network (WLAN). Structural Similarity Index (SSIM) and Video Quality Metric (VQM) video quality matrixes are used for measurement of received video at receiver. The results show that dynamics frame aggregation mechanism improve the big data video delivery for SSIM and VQM in comparison to frame aggregation mechanism defined by the draft of IEEE802.11n WLAN.

Suggested Citation

  • Dharm Singh Jat & Lal Chand Bishnoi & Shoopala Nambahu, 2018. "An Intelligent Wireless QoS Technology for Big Data Video Delivery in WLAN," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 9(4), pages 1-14, October.
    • Handle: RePEc:igg:jaci00:v:9:y:2018:i:4:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.2018100101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jaci00:v:9:y:2018:i:4:p:1-14. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.