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A stable and reliable data dissemination scheme based on intelligent forwarding in VANETs

机译:一种基于智能转发的稳定可靠的数据传播方案

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摘要

Vehicular ad hoc networks (VANETs) have gained incredible attention because of their applications in safety, commercial uses, and traffic management. However, the dynamic topology changes caused by the high speed of vehicles raise many challenges for the effective data dissemination in vehicular applications. In this paper, with the objective to solve the problem of frequent disconnection during data delivery, we propose a novel, intelligent forwarding-based stable and reliable data dissemination scheme. First, link stability is described mathematically, by which vehicle chooses the next forwarding node. Then, a greedy algorithm is presented to transmit the data from source to destination. A separate recovery algorithm is also designed to resolve the intermediate link breakage problem. The performance of the proposed method is analyzed by performing extensive network and traffic simulations with respect to various indexes such as latency, packet delivery ratio (PDR), and throughput. Compared with the state-of-the-art protocols, the proposed method under varying density improves the average PDR and throughput by 31.55% and 25.30%, respectively.
机译:由于其在安全,商业用途和交通管理中,车辆临时网络(VANET)令人难以置信的关注。然而,由高速速度引起的动态拓扑变化引起了车辆应用中有效数据传播的许多挑战。在本文中,目的是解决数据传递期间频繁断开的问题,我们提出了一种新颖,智能转发的基于稳定和可靠的数据传播方案。首先,在数学上描述链路稳定性,通过该链接稳定性地描述了下一个转发节点。然后,呈现贪婪算法以将数据从源传输到目的地。单独的恢复算法也旨在解决中间链路破坏问题。通过对诸如延迟,分组传递比率(PDR)和吞吐量的各种索引进行广泛的网络和流量模拟来分析所提出的方法的性能。与最先进的方案相比,不同密度下的提出方法将平均PDR和产量分别提高31.55%和25.30%。

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