This paper proposes a system for emergency message distribution in vehicular ad-hoc networks (VANETs) that is based on the Cluster Routing Protocol. When it comes to alerting vehicles and infrastructure in a timely manner about traffic accidents, road hazards, and other critical occurrences, VANETs are essential. However, Significant obstacles are presented by the restricted bandwidth, network dynamics, and increased vehicle mobility. The proposed framework integrates VANETs with 5G and edge computing, leveraging 2D with 3D grid-based network construction and optimal edge-RSU deployment. Low end-to-end latency, a high packet delivery ratio, and high throughput are the objectives of the framework. To increase network scalability, decrease transmission latency, and improve emergency message dissemination, research focuses on clustering, optimal path selection, and intelligent message dissemination. The proposed framework demonstrates promising results in terms of network performance and emergency message dissemination efficiency.

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Proposed Framework Based on Cluster Routing Protocol for Emergency Message Dissemination in VANET

  • Maath A. Albeyar,
  • Ikram Smaoui,
  • Hassene Mnif,
  • Sameer Alani

摘要

This paper proposes a system for emergency message distribution in vehicular ad-hoc networks (VANETs) that is based on the Cluster Routing Protocol. When it comes to alerting vehicles and infrastructure in a timely manner about traffic accidents, road hazards, and other critical occurrences, VANETs are essential. However, Significant obstacles are presented by the restricted bandwidth, network dynamics, and increased vehicle mobility. The proposed framework integrates VANETs with 5G and edge computing, leveraging 2D with 3D grid-based network construction and optimal edge-RSU deployment. Low end-to-end latency, a high packet delivery ratio, and high throughput are the objectives of the framework. To increase network scalability, decrease transmission latency, and improve emergency message dissemination, research focuses on clustering, optimal path selection, and intelligent message dissemination. The proposed framework demonstrates promising results in terms of network performance and emergency message dissemination efficiency.