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Hybrid routing scheme for vehicular delay tolerant networks

机译:车辆延迟容忍网络的混合路由方案

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摘要

In Vehicular Delay Tolerant Networks (VDTN) connection from source to destination at any required period is not necessarily available. Therefore, the node with the message, save it in its own buffer and carry it until an opportunity comes across for forwarding. Fix nodes enhances the performance of VDTN. It helps in message storage and relaying messages. Due to mobility the bit error rate is high in mobile nodes connection but it is not considered in any of the previous routing schemes for VDTN. The connection between fix nodes will always have low bit error rate as compared to connection involving mobile nodes. All the pervious schemes are one dimensional. Environmental hindrances are not taken under consideration as well. Its effect can be both negative and positive. In this paper, a scheme titled Hybrid routing scheme is suggested to overcome the above stated problems. Features of another vehicular network called Vehicular Ad Hoc Networks (VANETs) are added to Maximum Priority (MaxProp) routing scheme for VDTN. Different propagation models of VANETs are implemented for both with and without mobile node communication for VDTN. The concept of bit error rate is also featured in Hybrid routing scheme. This makes Hybrid routing scheme two dimensional and more intelligent. The implementation and performance assessment of the proposed scheme is evaluated via Opportunistic Network Environment (ONE) Simulator. The Hybrid routing scheme outperform MaxProp in terms of the delivery probability and delivery delay.
机译:在车载延迟容忍网络(VDTN)中,在任何所需时间段从源到目的地的连接不一定可用。因此,带有消息的节点将其保存在自己的缓冲区中并携带它,直到遇到转发的机会。修复节点可增强VDTN的性能。它有助于消息存储和中继消息。由于移动性,在移动节点连接中误码率很高,但是在以前的VDTN路由方案中都没有考虑。与涉及移动节点的连接相比,修复节点之间的连接将始终具有较低的误码率。所有先前的方案都是一维的。也没有考虑环境障碍。它的影响既可以是负面的,也可以是正面的。在本文中,提出了一种名为混合路由方案的方案来克服上述问题。 VDTN的最大优先级(MaxProp)路由方案中添加了另一种称为“车载​​自组织网络(VANET)”的车载网络的功能。对于有无VDTN移动节点通信,都实现了VANET的不同传播模型。混合路由方案中还具有误码率的概念。这使混合路由方案成为二维的,并且更加智能。通过机会网络环境(ONE)模拟器评估了该方案的实施和性能评估。在传递概率和传递延迟方面,混合路由方案优于MaxProp。

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