Energy Consumption Modeling and Grey Wolf Optimization for Vehicular Communication

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. The proposed model is the 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.

Authors

Institutions

Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/asiancomnet63184.2024.10811028
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy Consumption Modeling and Grey Wolf Optimization for Vehicular Communication

Amit Gangopadhyay, Fatima Hashim Abbas, Nejood Faisal Abdulsattar, Mohammed I. Habelalmateen et al.
Advanced MIMO Systems Optimization
article

Energy Consumption Modeling and Grey Wolf Optimization for Vehicular Communication

Amit Gangopadhyay, Fatima Hashim Abbas, Nejood Faisal Abdulsattar, Mohammed I. Habelalmateen, Hassan Mohammed Abed, Rusul Lsmael Hadi
article en

Abstract

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. The proposed model is the 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.

Thi Qar University (IQ), Alsalam University College (IQ), Iraqi University (IQ)
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Energy Consumption Modeling and Grey Wolf Optimization for Vehicular Communication — Amit Gangopadhyay, Fatima Hashim Abbas, et al. · (2024) | TGRS Research Map | TGRS