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2000
Volume 15, Issue 2
  • ISSN: 2210-3279
  • E-ISSN: 2210-3287

Abstract

Background

A vehicular ad hoc network (VANET) is a combination of wireless and mobile networks that comprises connected vehicles, and immobile nodes placed on the roads called roadside units (RSUs). RSUs help vehicles find information, improve communication amongst vehicles, and provide help with signal acknowledgement and violation, traffic safety and driving awareness.

Objective

The main obstacle for VANET though is the deployment of RSUs. In order to lower the cost of the VANET and increase coverage, the goal is to deploy the fewest possible RSUs.

Methods

A virus optimization algorithm (VOA) has been implemented on the VANET architecture to help achieve this goal.

Results

The major accomplishment of this article is the optimal deployment of RSUs in VANET and through the simulation it was found that with the application of VOA, the number of RSUs deployed could be reduced by 58.3%. In addition, this work focuses on enhancing the VANET performance on various metrics such as throughput, energy consumption, packet delivery ratio, end delay and packet loss ratio. The performance of VOA is also compared with some latest predominant algorithms used for optimization such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).

Conclusion

According to the findings, VOA outperforms PSO and GA in terms of enhanced VANET performance and the most effective RSU deployment.

© 2025 Bentham Science Publishers
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Boosting VANET Potential with Optimal RSU Deployment Using Virus Optimization Algorithm
Int J Sensors Wirel Commun Control 15, 159 (2025); https://doi.org/10.2174/0122103279308939240712104505
/content/journals/swcc/10.2174/0122103279308939240712104505
/content/journals/swcc/10.2174/0122103279308939240712104505
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  • Article Type:     Research Article
Keyword(s): Genetic algorithm; Optimal RSU deployment; Particle swarm optimization; Road side unit; V2I; V2V; Vehicular ad hoc network; Virus optimization algorithm

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