Emergency Data Transmission Mechanism in VANETsusing Improved Restricted Greedy Forwarding (IRGF) Scheme
Dublin Core
Title
Emergency Data Transmission Mechanism in VANETsusing Improved Restricted Greedy Forwarding (IRGF) Scheme
Subject
emergency message broadcasting; fuzzy logic; restricted greedy forwarding; TMED; trust and reputation metric; VANETs
Description
One of the most critical tasks in Vehicular Ad-hoc Networks (VANETs) is broadcasting Emergency Messages (EMs) at considerable data delivery rates (DDRs).The enhanced spider-web-like Transmission Mechanism for Emergency Data (TMED) is based on requestspiders and authenticatedspiders to create the shortest route path between the source vehicle and target vehicles. However, the adjacent allocation is based on the DDR only and it isnot clear whether each adjacent vehicle is honest or not. Hence, in this article, the Improved Restricted Greedy Forwarding (IRGF) scheme is proposed for adjacent allocation with the help of trust computation in TMED. The trust and reputation score value of each adjacent vehicle is estimated based on successfully broadcastemergency data. The vehicles’position, velocity, direction, density, and thereputation score, are fed to a fuzzy logic (FL) scheme,which selects the most trusted adjacent node as the forwarding node for broadcasting the EM to the destination vehicles. Finally, the simulation results illustrate the TMED-IRGF model’s efficiency compared to state-of-the-art models in terms of different network metrics.
Creator
Kathirvelu Lakshmi* & Manivasagam Soranamageswari
Source
https://journals.itb.ac.id/index.php/jictra/article/view/17266/6158
Publisher
PG and Research Department of Computer Science,Government Arts College, Coimbatore-641 018, India
Date
2023
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Kathirvelu Lakshmi* & Manivasagam Soranamageswari, “Emergency Data Transmission Mechanism in VANETsusing Improved Restricted Greedy Forwarding (IRGF) Scheme,” Repository Horizon University Indonesia, accessed March 14, 2025, https://repository.horizon.ac.id/items/show/7034.