Improved VANETs Routing with Particle Swarm Optimization to Maximize Quality of Service
编号:154 访问权限:仅限参会人 更新:2024-10-09 00:05:57 浏览:658次 张贴报告

报告开始:2024年10月25日 14:00(Asia/Bangkok)

报告时间:5min

所在会场:[PS] Poster Session [PS] Poster

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摘要
The Vehicular Ad hoc Network (VANETs) is a subclass of mobile communication which occupies maximum of the promising approaches of future intelligent communication systems (ITS). Currently the vehicles which are present in this technology are tremendously increased and that creates several challenges in providing efficient communication. Due to its high speed and random mobility several routing issues and optimization problems are created which increase is the delay and overhead during data transmission. To come these drawbacks in this article an improved VANETs routing with particles swarm optimization to improve the quality-of-service parameters (IVRPSO) are developed. The core modules which are present in the article are RPL protocol-based routing and particles swarm optimization. Through these processes that routing of the high-speed vehicles are standardized and the quality of communication is improvised. The implementation of this network is done in NS3 software and the parameters which are concentrated to analyses the performance are data success rate, network throughput, routing overhead, data loss date and average delay. The simulation output states that from the execution of the varying number of vehicles the performance of the IVRPSO is better than the earlier works concerned with efficiency and data success rate.
关键词
Vehicular Ad hoc Network (VANETs), Intelligent Communication Systems (ITS), RPL protocol and Particles Swarm Optimization.
报告人
Hayder Shihab Ahmed Alsoufi
N/A Federal Board of Supreme Audit

稿件作者
P. Tamil Selvi Rajalakshmi Engineering College
Rusul Lsmael Hadi National University of Science and Technology
Fatima Hashim Abbas Al-Mustaqbal University
Mohammed I. Hashim The Islamic University
Hayder Shihab Ahmed Alsoufi Federal Board of Supreme Audit
Hussein Muhi Hariz Mazaya University College
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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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