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Spray and Focus: Efficient Mobility-Assisted Routing for Heterogeneous and Correlated Mobility

机译:喷雾和焦点:有效的流动性辅助路由用于异构和相关的移动性

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Intermittently connected mobile networks are wireless networks where most of the time there does not exist a complete path from the source to the destination. There are many real networks that follow this model, for example, wildlife tracking sensor networks, military networks, vehicular ad hoc networks (VANETs), etc. To deal with such networks researchers have suggested to use controlled replication or "spraying" methods that can reduce the overhead of flooding-based schemes by distributing a small number of copies to only a few relays. These relays then "look" for the destination in parallel as they move into the network. Although such schemes can perform well in scenarios with high mobility (e.g. VANETs), they struggle in situations were mobility is slow and correlated in space and/or time. To route messages efficiently in such networks, we propose a scheme that also distributes a small number of copies to few relays. However, each relay can then forward its copy further using a single-copy utility-based scheme, instead of naively waiting to deliver it to the destination itself. This scheme exploits all the advantages of controlled replication, but is also able to identify appropriate forwarding opportunities that could deliver the message faster. Simulation results for traditional mobility models, as well as for a more realistic "community-based" model, indicate that our scheme can reduce the delay of existing spraying techniques up to 20 times in some scenarios.
机译:间歇地连接的移动网络是无线网络,其中大部分时间不存在从源到目的地的完整路径。有许多真正的网络遵循该模型,例如,野生动物跟踪传感器网络,军事网络,车辆临时网络(VANET)等,以处理此类网络研究人员已经建议使用可以的受控复制或“喷涂”方法通过将少量副本分配到仅几个继电器来减少基于洪水的方案的开销。然后,这些继电器在进入网络时并行“查看”。虽然这种方案可以在具有高移动性的情况下表现良好(例如VANET),但它们在情况下挣扎是移动性的,在空间和/或时间内慢慢地相关。为了在这种网络中有效地路由消息,我们提出了一种也将少量副本分发给几个继电器的方案。但是,每个继电器然后可以使用基于单拷贝的实用程序的方案进一步转发其副本,而不是天真地等待将其传送到目的地本身。该方案利用受控复制的所有优点,但也能够识别可以更快地提供信息的适当转发机会。传统移动模型的仿真结果,以及更现实的“基于社区”模型,表明我们的方案可以在某些情况下减少现有喷涂技术的延迟高达20倍。

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