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Resource Management and GA based scheduling for Unmanned-Aerial-Vehicles Communications
ID：18 View Protection：ATTENDEE Updated Time：2024-07-30 16:03:02 Hits：1556 Poster Presentation

Start Time：2024-10-25 15:45（Asia/Bangkok）

Duration：5min

Session：PS Poster Session » PSPoster

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Abstract
The integration of vehicular communication and unmanned aerial vehicles (UAVs) technology has become a most trending topic and it occupies maximum of the attention of both the industrial and academic sectors. To achieve high quality communication with the ground and the air medium the aerial vehicles are connected to the cellular network so the year energy constraints are normalized. At the time of high speed data transmission the vehicles underwent certain drawbacks like delay during data uplink and high power consumption. To overcome these drawbacks in this article resource management and Generic Algorithm (GA) based scheduling (RMGAS-UAV) is developed for aerial networks based environments. The core modules of RMGAS-UAV are efficient system model and GA based drone scheduling. This models the data transmission quality of the aerial vehicles are highly improved. This network model is designed in the software called NS3 and the parameters which are taken for result calculation are data delivery ratio, network throughput, routing overhead, energy efficiency and energy consumption. From the calculated results it is shown that the RMGAS-UAV obtained better results in terms of energy efficiency and data delivery when compared with the earlier methods.
Keywords
unmanned aerial vehicles (UAVs), Generic Algorithm (GA), Resource Management and Drone Scheduling.
Speaker
Zahraa Hassan
Mazaya University College

Submission Author
Fatima Hashim Abbas Al-Mustaqbal University
Mohammed Habelalmateen The Islamic University
Nejood F. Abdulsattar Imam Al-Kadhum College (IKC)
Amit Gangopadhyay Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College)
Rizgar Rahman Ghafour National University of Science and Technology
Zahraa Hassan Mazaya University College
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Important Date

  • Conference Date

    Oct 24

    2024

    to

    Oct 27

    2024

  • Oct 14 2024

    Draft paper submission deadline

  • Oct 29 2024

    Registration deadline

  • Oct 31 2024

    Contribution Submission Deadline

Sponsored By
United Societies of Science
King Mongkut's University of Technology North Bangkok (KMUTNB)
IEEE Thailand Section
IEEE Thailand Section C Chapter
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