使用基于VOA的道路侧单元部署增强车辆自组织网络性能

Ayushi Sharma, Kavita Pandey
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引用次数: 0

摘要

道路侧单元(RSU)是VANET建筑的关键元素。用于提高通信范围、驾驶意识、交通安全、信号识别和违章行为。然而,VANET在RSU部署方面面临重大挑战。实现RSU部署问题的目标,即最小化部署成本和最大化网络覆盖;文献中已经使用了群体智能算法。本文将病毒优化算法(VOA)应用于VANET求解,并与粒子群优化算法(PSO)和遗传算法(GA)等群族算法进行了比较。生成的结果显示了所建议算法(即VOA)在最佳RSU部署方面的专业知识,以及重叠率、平均传输时间和网络连接等各种性能指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicular Ad Hoc Network performance enhancement using VOA based Road Side Unit Deployment
Road side unit (RSU) is the key element in VANET architecture. It is used to improve communication range, driving awareness, traffic safety, signal acknowledgement and violation. However, VANET faces major challenges in RSU deployment. To achieve the objectives of RSU deployment problem i.e. minimizing the cost of deployment and maximizing network coverage; swarm intelligence algorithm have been used in the literature. In our work, Virus optimization algorithm (VOA) has been applied on VANET to generate optimal solutions and is compared with swarm family algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The outcome generated shows the expertise of the suggested algorithm i.e. VOA in terms of optimal RSU deployment and also on various performance metrics like overlapping rate, average transmission time and network connectivity.
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