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Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique

  • Jagadeesh Selvaraj
  • , Noor Alleema Nakeeb
  • , Jaehyuk Cho*
  • , Sathishkumar Veerappampalayam Easwaramoorthy
  • *Corresponding author for this work
    • Vel Tech University
    • Sunway University

    Research output: Contribution to journalJournal articlepeer-review

    Abstract

    Modern wireless networks provide state-of-the-art services to numerous users by utilizing ultrahigh frequency lines and machine-type interaction. Incorporating ultrahigh frequency lines and machine-type interactions to delivermultiple user services is driving the need for creative energy-saving strategies in wireless networks, which are advancing rapidly. The Preemptive Energy Conservation Technique (PECT) is a novel energy preservation method developed for next-generation wireless networks. This method meets each device's unique requirements while accumulating and dispersing energy in an eco-friendly way. The method's core tenet is that it finds energy slot intervals intended for distribution and portable device operating, thus maximizing support for data exchange. The next step is to initiate the conservation operation by utilizing the discovered slot intervals and the projected device demands. Using Naïve Bayes prediction intelligence, PECT finds energy slot intervals specifically for portable device operation and dissemination and then starts conservation actions based on these predictions. This proactive method guarantees sufficient energy allocation for efficient information exchange by improving the speed of data sharing through synchronized wireless networks. Energy usage, delay, communication loss, and the lowest possible conservation ratio are some metrics used to assess the efficacy of the suggested PECT.

    Original languageEnglish
    Pages (from-to)169328-169343
    Number of pages16
    JournalIEEE Access
    Volume12
    DOIs
    StatePublished - 2024

    Keywords

    • Artificial intelligence
    • energy conservation
    • information exchange
    • Naïve Bayes prediction
    • preemptive approach
    • synchronized links
    • wireless network

    Quacquarelli Symonds(QS) Subject Topics

    • Materials Science
    • Computer Science & Information Systems

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