Dynamic Mobility based Effective Load Balancing and QoS-Aware Network Selection in UAV Networks
编号:147 访问权限:仅限参会人 更新:2024-10-08 21:17:56 浏览:462次 张贴报告

报告开始:2024年10月25日 14:55(Asia/Bangkok)

报告时间:5min

所在会场:[PS] Poster Session [PS] Poster

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摘要
Wireless technology enters into the recent advancement by incorporating the embedded systems to develop vehicular communication with high performance. In vehicular ad hoc networks (VANETs) due to high-speed vehicles several challenges occurred like vehicle integrity management, speed management and effective data collection with road traffic event management. To monitor the huge number of vehicles in an efficient way in a large-scale coverage area in recent times unmanned aerial vehicles (UAVs) are developed. This technology provides effective communication among the ground level and the air medium. To attend high quality communication of the vehicles in this article dynamic mobility based effective load balancing and QoS aware network selection (DELQNU) among the UAVs are constructed. The core modules of this proposed DELQNU are UAV network model, mobility model and QoS model. Using these ideas monitoring a huge number of vehicles even at the densely populated and high-speed technology becomes possible and highly efficient. The implementation of this network is constructed in NS3 software and SUMO and the parameters which are calculated for this analysis are packet delivery ratio, throughput, delay, routing overhead and energy efficiency. From the final outcome it is proven that DELQNU attends maximum results in terms of delivery ratio and throughout when compared with the earlier baseline methodologies.
关键词
Vehicular ad hoc networks (VANETs), Dynamic Mobility, Effective Load Balancing, QoS-Aware Network Selection and Unmanned Aerial Vehicles (UAVs).
报告人
Hussein Al-Aboudy
N/A Mazaya University College

稿件作者
Kurdi Waleed Hadi Madhloom Altoosi University College
Hussein Al-Aboudy Mazaya University College
U. Pavan Kumar Dayananda Sagar University
Zahraa Saad Abdulali National University of Science and Technology
Mohammed Ihsan The Islamic University
Fatima Alsalamy Al-Mustaqbal University
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重要日期
  • 会议日期

    10月24日

    2024

    10月27日

    2024

  • 10月14日 2024

    初稿截稿日期

  • 10月29日 2024

    注册截止日期

  • 10月31日 2024

    报告提交截止日期

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国际科学联合会
IEEE泰国分会
IEEE计算机学会泰国分会
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