Authors: Abbas Fatima Hashim, Al-Mustaqbal University Hadi Rusul Lsmael, National University of Science and TechnologyAbdulsattar Nejood F. , Imam Al-Kadhum College (IKC) Abed Hassan Mohammed, Mazaya University College Gangopadhyay Amit, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College) Habelalmateen Mohammed, The Islamic University
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.
Keywords: Vehicular Ad hoc Network (VANETs), Energy Consumption Model, Grey Wolf Optimization Model and Optimal Path Selection.
Published in: IEEE Transactions on Antennas and Propagation( Volume: 71, Issue: 4, April 2023)
Page(s): 2908 - 2921
Date of Publication: 2908 - 2921
DOI: 10.1109/TAP.2023.3240032
Publisher: UNITED SOCIETIES OF SCIENCE