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A robust forwarding node selection mechanism for efficient communication in urban VANETs

机译:用于在城市VANET中进行有效通信的强大转发节点选择机制

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In an urban VANET scenario, more number of obstacles like buildings or other roadside constructions are present. For these obstacles, the radio propagation may get affected which leads to poor network performance. To deal with this situation, a new approach is required which is primarily contingent on an obstacle avoidance algorithm, capable of finding the optimized shortest path, along with a potential forwarding vehicle selection strategy to route the packets efficiently. As a solution, this paper proposes a robust forwarding node selection mechanism for efficient communication between vehicles. For this, at first a path is selected avoiding the obstacles with the help of Delaunay Triangulation. Then that path is optimized by removing Torricelli points, priorly placed inside the Delaunay Triangulation. After that a forwarding zone is selected in that optimized shortest path. On that forwarding zone, a robust node is selected using fuzzy logic for efficient data dissemination. Extensive simulation results disclose that the proposed solution outperforms the present methods with respect to throughput, PDR, end-to-end delay and hop-count. (C) 2018 Elsevier Inc. All rights reserved.
机译:在城市VANET场景中,存在更多的障碍物,例如建筑物或其他路边建筑。对于这些障碍,无线电传播可能会受到影响,从而导致网络性能不佳。为了应对这种情况,需要一种新方法,该方法主要取决于避障算法,该算法能够找到优化的最短路径,以及潜在的转发车辆选择策略,以有效地路由数据包。作为解决方案,本文提出了一种鲁棒的转发节点选择机制,用于车辆之间的高效通信。为此,首先在Delaunay Triangulation的帮助下选择一条避开障碍物的路径。然后,通过删除事先放置在Delaunay三角剖分中的Torricelli点来优化该路径。之后,在该优化的最短路径中选择一个转发区域。在该转发区域上,使用模糊逻辑选择健壮的节点以进行有效的数据分发。大量的仿真结果表明,在吞吐量,PDR,端到端延迟和跳数方面,所提出的解决方案优于本方法。 (C)2018 Elsevier Inc.保留所有权利。

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