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

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.