Performance Evaluation of Hybrid Traffic Monitoring and Location-Based Routing for VANETs in Intelligent Transportation System

Commonly vehicular ad-hoc network (VANET) are dynamic form of network in nature with maintain huge mobility-based vehicles which changes the topology in a frequent manner. Because of its characteristics effective transmission of data attainment becomes a critical task where it increases the delay, overhead and power consumption during data transmission. Several routing protocols are developed where it transfers the data to the intermediate hops and then to the destination and it’s transmitted the acknowledgement to the source. But this kind of path selection is not suitable for the network with frequently changing topology. With the intention of overcoming this entire problem we introduced a newer approach in this article namely Performance Evaluation of Hybrid Traffic Monitoring and Location-based Routing (PHTLR) concentrates on effective cluster based routing and improved communication between the vehicles and the roadside units (RSU). The proposed PHTLR model systematically performed three steps they are system model creation, efficient communication formulation among the vehicles and RSUs to provide effective traffic monitoring among the vehicles and clustering in routing which helps to optimize the routing in better manner. Through these combined methods the vehicles and its transmission path are effectively chosen and as well the data is transmitted in an optimal way and that leads to attain stable communication.

Authors

Institutions

Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/iccsp64183.2025.11089248
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Evaluation of Hybrid Traffic Monitoring and Location-Based Routing for VANETs in Intelligent Transportation System

Mohammed Ihsan, Fatima Alsalamy, Tabarek Hasanain AlDaami, Hassan Mohammed Abed et al.
Vehicular Ad Hoc Networks (VANETs)
article

Performance Evaluation of Hybrid Traffic Monitoring and Location-Based Routing for VANETs in Intelligent Transportation System

Mohammed Ihsan, Fatima Alsalamy, Tabarek Hasanain AlDaami, Hassan Mohammed Abed, Vijayakumar Kadumbadi, Ameer Kadhim Madhy, N. Dhivyadevi
article en

Abstract

Commonly vehicular ad-hoc network (VANET) are dynamic form of network in nature with maintain huge mobility-based vehicles which changes the topology in a frequent manner. Because of its characteristics effective transmission of data attainment becomes a critical task where it increases the delay, overhead and power consumption during data transmission. Several routing protocols are developed where it transfers the data to the intermediate hops and then to the destination and it’s transmitted the acknowledgement to the source. But this kind of path selection is not suitable for the network with frequently changing topology. With the intention of overcoming this entire problem we introduced a newer approach in this article namely Performance Evaluation of Hybrid Traffic Monitoring and Location-based Routing (PHTLR) concentrates on effective cluster based routing and improved communication between the vehicles and the roadside units (RSU). The proposed PHTLR model systematically performed three steps they are system model creation, efficient communication formulation among the vehicles and RSUs to provide effective traffic monitoring among the vehicles and clustering in routing which helps to optimize the routing in better manner. Through these combined methods the vehicles and its transmission path are effectively chosen and as well the data is transmitted in an optimal way and that leads to attain stable communication.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Thi Qar University (IQ), Alsalam University College (IQ), Kodolányi János University of Applied Sciences (HU), Iraqi University (IQ), Global College (CY)
Openalex Percentile: Top 83%
Vehicular Ad Hoc Networks (VANETs)
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.