IDEAS home Printed from https://ideas.repec.org/a/igg/jitn00/v12y2020i1p43-56.html
   My bibliography  Save this article

Optical Wireless Channel Data Scheduling Using TLBO and Wavelength Division Multiplexing

Author

Listed:
  • Anjana Shukla

    (RGPV, Bhopal, India)

  • Vineeta Saxena

    (RGPV, Bhopal, India)

Abstract

Channel utilization in today's environment for handling multimedia data plays an important role. The steps of allotting resources to process can be done by taking data which helps to analyze and make important decisions at runtime. This research paper focuses on allocation of optical wireless channels using wavelength division multiplexing where two models were developed, first was channel data pre-processing as per transmission packet size while second was TLBO (Teacher Learning Based Optimization) genetic algorithm which find the correct channel with position for the input data to communicate. Here some information used for analysis was total number of channels, data size, available wavelength, etc. So, output of the TLBO process sequence was used for passing data in selected channels. Results show that proposed model OWDS (optical wireless data scheduling) has overcome various evaluation parameters on different scales as compared to previous approaches adopted by researchers.

Suggested Citation

  • Anjana Shukla & Vineeta Saxena, 2020. "Optical Wireless Channel Data Scheduling Using TLBO and Wavelength Division Multiplexing," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 12(1), pages 43-56, January.
  • Handle: RePEc:igg:jitn00:v:12:y:2020:i:1:p:43-56
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITN.2020010104
    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:jitn00:v:12:y:2020:i:1:p:43-56. 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.