Energy consumption modeling and Grey Wolf Optimization for vehicular communication
编号:19 访问权限:仅限参会人 更新:2024-09-19 15:06:24 浏览:375次 张贴报告

报告开始:2024年10月25日 15:40(Asia/Bangkok)

报告时间:5min

所在会场:[PS] Poster Session [PS] Poster

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摘要
A Vehicular Ad hoc Network (VANETs) is the technology which is developed to provide intelligent communication between the vehicles and the roadside units and pedestrians in terms of high network safety and accuracy. Due to certain characteristics of vehicles such as high speed and variable mobility the performance of the network is diminished. In order to provide high efficiency to the vehicles at the time of high speed data transmission in this article certain models are developed. A novel energy consumption model and grey wolf optimization model (ECGWO) is developed in the vehicular network to attend high efficiency among the vehicles. Reduction of power utilization for each transmission among the vehicles from one place to another, helps to improvise the efficiency of the network. Providing optimization at the time of data transmission the information gets travelled in optimal path so that the network delay and overhead is greatly reduced. As a whole, this model provides a better communication standard for the vehicles in the network. This way network is simulated in the software NS3 and the parameters which are considered for analyze the effectiveness of the proposed model are data success rate, data loss rate, average delay, network throughput and routing overhead. The simulation result shows that the ECGWO has better success rate and throughput than other related methods.
关键词
Vehicular Ad hoc Network (VANETs), Energy Consumption Model, Grey Wolf Optimization Model and Optimal Path Selection.
报告人
Mohammed Habelalmateen
The Islamic University

稿件作者
Fatima Hashim Abbas Al-Mustaqbal University
Rusul Lsmael Hadi National University of Science and Technology
Nejood F. Abdulsattar Imam Al-Kadhum College (IKC)
Hassan Mohammed Abed Mazaya University College
Amit Gangopadhyay Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College)
Mohammed Habelalmateen The Islamic 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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