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A framework for pervasively shared situational awareness in mobile ad hoc environments.

机译:在移动即席环境中普遍共享情境意识的框架。

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摘要

This dissertation presents a novel approach to sharing situational awareness among a group of geographically dispersed mobile networked devices. We divide our efforts into two parts: getting the information to the right places, and keeping it there. We start by introducing a stochastic approach to transporting geospatial messages that shows significantly better performance than the existing deterministic approaches, particularly in adverse network topologies. Under normal conditions, our model performs better than comparable existing approaches. Under pathological conditions, however, all other approaches fail while our model remains viable.Next, we introduce a novel cooperative spatial-aware cache that can be thought of as residing in a region rather than in any given node. Each node that participates in the cache holds an expendable part of the data, so that the loss of any node or small group of nodes can be tolerated with little or no degradation of service. The results of both our analysis and simulations show that our approach works significantly better than local caching alone both in terms of hit-ratios as well as cache survivability. In fact our shared spatial caches perform one order of magnitude better than local caches in terms of cache hit ratios.
机译:本文提出了一种在一组地理位置分散的移动联网设备之间共享态势感知的新颖方法。我们将工作分为两部分:将信息传递到正确的地方,并将其保存在正确的地方。我们首先介绍一种传输地理空间消息的随机方法,该方法显示出比现有确定性方法明显更好的性能,尤其是在不利的网络拓扑中。在正常条件下,我们的模型比现有的同类方法表现更好。但是,在病理情况下,所有其他方法都将失败,而我们的模型仍然可行。接下来,我们介绍一种新颖的协作式空间感知缓存,可以将其视为驻留在区域而不是任何给定节点中。参与缓存的每个节点都保留了数据的消耗部分,因此可以容忍任何节点或一小组节点的丢失,而服务的性能几乎没有下降。我们的分析和模拟结果均表明,就命中率和缓存生存能力而言,我们的方法比单独使用本地缓存要好得多。实际上,就缓存命中率而言,我们的共享空间缓存的性能比本地缓存好一个数量级。

著录项

  • 作者单位

    University of Puerto Rico, Mayaguez (Puerto Rico).;

  • 授予单位 University of Puerto Rico, Mayaguez (Puerto Rico).;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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