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首页> 外文期刊>Communications, IEEE Transactions on >A Probabilistic and Traffic-Aware Bundle Release Scheme for Vehicular Intermittently Connected Networks
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A Probabilistic and Traffic-Aware Bundle Release Scheme for Vehicular Intermittently Connected Networks

机译：车辆间歇连接网络的概率和流量感知捆绑释放方案

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摘要

Delay-optimal data delivery in Vehicular Intermittently Connected Networks (VICNs) is challenging since vehicular traffic is affected by numerous recurring and completely random events. Some of these events cause breakdowns and jams while others subserve traffic stability. Researchers observed that mobile vehicles might be wisely exploited to connect two isolated, Stationary Roadside Units (SRUs). In this context, the design of effective delay-minimal data relaying strategies is receiving significant attention. However, many existing such schemes either do not adequately model vehicular traffic behaviours or adapt typical Internet packet-like forwarding protocols to VICNs. In contrast, this manuscript presents a concise, yet comprehensive study of vehicular traffic states based on which a "comme-il-faut" vehicular traffic model is established. This model captures the fundamental traffic characteristics and enables the selection of appropriate distributions for vehicular flow and speeds that parallel the realistic measurements made by traffic theorists. These distributions constitute the basis of a novel Probabilistic Bundle Release Scheme with Bulk Bundle Release (PBRS-BBR) that is proposed with the objective to minimize the average bundle delivery delay. An analytical queueing model is formulated to assess the performance of PBRS-BBR under medium-to-light vehicular traffic. Extensive simulations are conducted to prove the model's validity and accuracy.
机译：车辆间歇性连接网络（VICN）中的延迟最优数据传递具有挑战性，因为车辆交通受到众多重复发生且完全随机的事件的影响。这些事件中的一些会导致故障和阻塞，而其他一些则会影响流量的稳定性。研究人员观察到，可以明智地利用移动车辆来连接两个隔离的固定路边单元（SRU）。在这种情况下，有效的最小延迟数据中继策略的设计受到了极大的关注。但是，许多现有的此类方案或者不能充分地对车辆交通行为进行建模，或者无法将典型的类似于Internet数据包的转发协议适配到VICN。相比之下，该手稿对车辆交通状态进行了简明而全面的研究，在此基础上建立了“ comme-il-faut”车辆交通模型。该模型捕获了基本的交通特征，并能够为车辆流量和速度选择与交通理论家进行的实际测量平行的适当分布。这些分布构成了一种新的带有批量捆绑发布的概率捆绑发布方案（PBRS-BBR）的基础，该方案旨在最小化平均捆绑交付延迟。建立了分析排队模型，以评估PBRS-BBR在中轻车流量下的性能。进行了广泛的仿真，以证明模型的有效性和准确性。

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