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
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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 AbbasAl-Mustaqbal University
Rusul Lsmael HadiNational University of Science and Technology
Nejood F. AbdulsattarImam Al-Kadhum College (IKC)
Hassan Mohammed AbedMazaya University College
Amit GangopadhyayMohan Babu University (Erstwhile Sree Vidyanikethan Engineering College)
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