首页> 外文会议>2010 IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks >TTN: A time-to-network approach to data reporting in mobile ad hoc networks
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TTN: A time-to-network approach to data reporting in mobile ad hoc networks

机译:TTN:一种用于移动自组织网络中数据报告的网络时间方法

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For many applications in mobile wireless ad hoc networks (MANETs), forming an end-to-end data path is not always necessary; instead, the primary routing goal is often data collection or dissemination where only a data source is known. Routing algorithms must be carefully chosen in order to suit the needs of applications employing them. Our focus is on data collection applications in MANETs where limited mobility information is required to route data in a scalable manner. To address this goal, we employ the concepts of delay-tolerant networking (DTN) in which data makes progress toward a destination with high latency expectations and little knowledge of routing topology. Specifically, we present time-to-network (TTN) forwarding, a method of forwarding data generated by mobile nodes to a network endpoint in such a way that delivery latency is lowered without high networking cost. By segmenting mobility patterns into trips, we are able to apply TTN to a vehicular network using only an estimated destination arrival time for each vehicle. We evaluate TTN using mobility data from the TRANSIMS simulator for a real road network. Results show that our algorithm produces collection-to-network latencies similar to more generic algorithms but at a lower cost and with higher efficiency. Furthermore, we establish a lower bound for delivery latency in our experiments and compare it to TTN. This also helps normalize the interpretation of results specific to our mobility model.
机译:对于移动无线自组织网络(MANET)中的许多应用程序,不一定总是需要形成端到端的数据路径。相反,主要的路由目标通常是仅收集数据源的数据收集或分发。必须仔细选择路由算法,以适应采用它们的应用程序的需求。我们的重点是MANET中的数据收集应用程序,这些应用程序需要有限的移动性信息才能以可伸缩的方式路由数据。为了实现此目标,我们采用了延迟容忍网络(DTN)的概念,其中数据向具有高延迟期望且对路由拓扑知识了解很少的目的地前进。具体来说,我们介绍了网络时间(TTN)转发,这是一种将移动节点生成的数据转发到网络端点的方法,可以在不增加网络成本的情况下降低交付延迟。通过将出行方式划分为旅行,我们能够仅使用每辆车的估计目的地到达时间,将TTN应用于车辆网络。我们使用来自TRANSIMS模拟器的移动性数据为真实道路网络评估TTN。结果表明,我们的算法产生的收集到网络延迟类似于更通用的算法,但是成本较低且效率较高。此外,我们在实验中确定了传递延迟的下限,并将其与TTN进行比较。这也有助于规范对我们的流动性模型特定结果的解释。

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