A Hybrid Traffic Management in SDN-enabled Multi-Layer VANET Network
编号:152 访问权限:仅限参会人 更新:2024-10-09 15:15:11 浏览:482次 张贴报告

报告开始:2024年10月25日 14:20(Asia/Bangkok)

报告时间:5min

所在会场:[PS] Poster Session [PS] Poster

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摘要
Vehicular Ad hoc Networks (VANETs) is a mobile communication which is industrialized to expand the communication standard of high speed vehicles on the roadsides and it is combines with Software Defined Network (SDN). Vehicles communicate to the other adjacent once with the presence of certain equipment like on board units and so on. The aim of the vehicular communication is to deliver superior comfort zone and high privacy for the end users. Because of the major features of vehicles like unpredictable mobility and topological changes certain operational challenges and functional problems are identified. That results in data loss and high energy consumption among the high speed vehicles. To overcome these current issues in this article A hybrid traffic management in SDN enabled multilayer Vehicular communication (HTMSMV) is developed. The core modules are SDN network construction, data generation model, mobility model and traffic management model. With the presence of these methods communication constraints are received and it helps to manage the larger environment of the vehicles. The HTMSMV is implemented in the simulation software NS3 and the mobility of the vehicles are generated using the sumo model. Output parameters which are calculated are packet delivery ratio, network throughput, average delay, routing overhead and energy efficiency. From the result it is identified that the HTMSMV achieves maximum efficiency than the previous methods.
关键词
Vehicular Ad hoc Networks (VANETs), Software Defined Network (SDN), Unpredictable Mobility, Hybrid Traffic Management and Multilayer Vehicular Communication.
报告人
Hussein Muhi Hariz
Mazaya University College

稿件作者
Hussein Muhi Hariz Mazaya University College
Dr.B. Nancharaiah Professor Usha Rama
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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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