Scholarlink

In recent times, network service providers have attempted to widen their service to newly emerging technologies, specifically in mobile cloud computing. Most vehicles and cars with effectual storage and computers are equipped with innovative technologies like vehicular Ad hoc network (VANET), which is a novel wireless technology. However, every new framework and architecture leads to certain problems and limitations, like loss of data, routing issues etc. In this investigation, an optimal design to identify an appropriate cluster head in a set of vehicles using Efficient Light Gradient Boosting algorithm (E-LGBA) is presented. With a mathematical methodology and physical methods, a nested clustering can diminish data loss in real time applications and at equipped traffic light crossroads. At last, the simulation is performed using MATLAB environment to project the efficiency of the anticipated techniques and comparison is made with the prevailing techniques. The proposed method shows better trade off than the existing techniques.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhanced Route Discovery and Reduced Energy Consumption Scheme in VANET Using Light Gradient Boosting Algorithm

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • T. Mohan,
  • S. Shahul Hammed,
  • R. Karthik

摘要

In recent times, network service providers have attempted to widen their service to newly emerging technologies, specifically in mobile cloud computing. Most vehicles and cars with effectual storage and computers are equipped with innovative technologies like vehicular Ad hoc network (VANET), which is a novel wireless technology. However, every new framework and architecture leads to certain problems and limitations, like loss of data, routing issues etc. In this investigation, an optimal design to identify an appropriate cluster head in a set of vehicles using Efficient Light Gradient Boosting algorithm (E-LGBA) is presented. With a mathematical methodology and physical methods, a nested clustering can diminish data loss in real time applications and at equipped traffic light crossroads. At last, the simulation is performed using MATLAB environment to project the efficiency of the anticipated techniques and comparison is made with the prevailing techniques. The proposed method shows better trade off than the existing techniques.