RDVFF- Reliable Data Dissemination in Vehicular Ad Hoc Networks Based on Validation of Far to Farthest Zone

Deepak Gupta Deepak Gupta, Rakesh Rathi Deepak Gupta
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Abstract

The rise of connected and autonomous vehicles has resulted in the development of vehicular ad hoc networks (VANETs) as a means of improving road safety, traffic efficiency, and passenger comfort. However, VANETs present challenges to achieving reliability and service quality in networks suffered highly by broadcast storms due to their mobility, scalability, and high node density. By addressing such challenges, this paper seeks to contribute to solving the problem of efficient information dissemination by diluting the broadcast storm and coverage issues by proposing a novel relay selection scheme based on the validation of the far-to-farthest zone technique. A flag control suppression mechanism is presented to overcome repeated information problems. RDVFF includes a separate algorithm for the optimization of participants for relay inclusion to address the latency issue during communication based on a multi-directional multiple-selection scheme. Compared with state-of-art protocols in terms of throughput, delivery ratio, collision, and latency experimental results show improvement of an average of 21.27%, 18.34%, 36.76%, and 38.04% respectively.  
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RDVFF--基于远至最远区域验证的车载 Ad Hoc 网络中的可靠数据传播
互联和自动驾驶汽车的兴起促进了车载临时网络(VANET)的发展,成为提高道路安全、交通效率和乘客舒适度的一种手段。然而,由于其移动性、可扩展性和高节点密度,VANET 在实现可靠性和服务质量方面面临着挑战。针对这些挑战,本文提出了一种基于远至最远区域技术验证的新型中继选择方案,试图通过缓解广播风暴和覆盖问题来解决高效信息传播问题。此外,还提出了一种标志控制抑制机制,以克服重复信息问题。RDVFF 包括一种用于优化中继包含的参与者的独立算法,以解决基于多向多重选择方案的通信过程中的延迟问题。实验结果表明,与最先进的协议相比,RDVFF 在吞吐量、传送率、碰撞和延迟方面分别平均提高了 21.27%、18.34%、36.76% 和 38.04%。
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