首页> 外文会议>Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing Jun 1-3, 2003 Annapolis, Maryland, USA >The Shared Wireless Infostation Model - A New Ad Hoc Networking Paradigm (or Where there is a Whale, there is a Way)
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The Shared Wireless Infostation Model - A New Ad Hoc Networking Paradigm (or Where there is a Whale, there is a Way)

机译:共享无线信息站模型-一种新的Ad Hoc网络范例(或在有鲸鱼的地方有一种方法)

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In wireless ad hoc networks, capacity can be traded for delay. This tradeoff has been the subject of a number of studies, mainly concentrating on the two extremes: either minimizing the delay or maximizing the capacity. However, in between these extremes, there are schemes that allow instantiations of various degrees of this tradeoff. Infostations, which offer geographically intermittent coverage at high speeds, are one such an example. Indeed, through the use of the Infostation networking paradigm, the capacity of a mobile network can be increased at the expense of delay. We propose to further extend the In fostation concept by integrating it with the ad hoc networking technology. We refer to this networking model as the Shared Wireless Infostation Model (SWIM). SWIM allows additional improvement in the capacity-delay tradeoff through a moderate increase in the storage requirements. To demonstrate how SWIM can be applied to solve a practical problem, we use the example of a biological information acquisition system - radio-tagged whales - as nodes in an ad hoc network. We derive an analytical formula for the distribution of end-to-end delays and calculate the storage requirements. We further extend SWIM by allowing multi-tiered operation; which in our biological information acquisition system could be realized through seabirds acting as mobile data collection nodes.
机译:在无线自组织网络中,可以交换容量以获取延迟。这种折衷一直是许多研究的主题,主要集中在两个极端:最小化延迟或最大化容量。但是,在这些极端之间,存在允许实例化此折衷程度的方案。这样的例子就是一个信息站,它提供了高速的地理间歇性覆盖。实际上,通过使用Infostation网络范例,可以以延迟为代价来增加移动网络的容量。我们建议通过将In fostation概念与ad hoc网络技术集成来进一步扩展。我们将此网络模型称为共享无线信息站模型(SWIM)。通过适度增加存储需求,SWIM可以进一步改善容量延迟平衡。为了演示如何将SWIM应用于解决实际问题,我们以生物信息获取系统(带有无线电标记的鲸鱼)为例,将其作为ad hoc网络中的节点。我们导出了端到端延迟分布的解析公式,并计算了存储需求。通过允许多层操作,我们进一步扩展了SWIM;在我们的生物信息采集系统中,可以通过海鸟作为移动数据收集节点来实现。

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