# Priority Levels Based Multi-hop Broadcasting Method for Vehicular Ad hoc Networks

## TL;DR

This paper introduces a novel adaptive broadcasting protocol for VANETs that dynamically adjusts message dissemination based on priority and network density, improving efficiency and reliability.

## Contribution

It proposes the Autonomic Dissemination Method (ADM), combining offline optimization with real-time adaptation using genetic algorithms and Autonomic Computing.

## Key findings

- Increases message delivery ratio in dense networks
- Reduces latency and radio interference
- Efficiently manages radio resources under high message loads

## Abstract

This paper deals with broadcasting problem in vehicular ad hoc networks (VANETs). This communication mode is commonly used for sending safety messages and traffic information. However, designing an efficient broadcasting protocol is hard to achieve since it has to take into account some parameters related to the network environment, for example, the network density, in order to avoid causing radio interferences. In this paper, we propose a novel Autonomic Dissemination Method (ADM) which delivers messages in accordance with given priority and density levels. The proposed approach is based on two steps: an offline optimization process and an adaptation to the network characteristics. The first step uses a genetic algorithm to find solutions that fit the network context. The second one relies on the Autonomic Computing paradigm. ADM allows each vehicle to dynamically adapt its broadcasting strategy not only with respect to the network density, but also in accordance to the priority level of the message to send. The experimental results show that ADM effectively uses the radio resources even when there are globally many messages to send simultaneously. Moreover, ADM allows to increase the message delivery ratio and to reduce the latency and radio interferences.