首页> 外文会议>2010 IEEE Global Telecommunications Conference >Efficient Mobile Content Delivery Based on Co-Route Prediction in Urban Transport
【24h】

Efficient Mobile Content Delivery Based on Co-Route Prediction in Urban Transport

机译:基于路线预测的城市交通中高效的移动内容交付

获取原文

摘要

Routing is one of the most challenging open problems in pocket-switched-networks (PSN). In this paper, we propose a novel co-route media content forwarding scheme (CRMF), in which new contact opportunities are created for occasionally disconnected mobile users. Our study is inspired by two observations: one is that many people tend to make regular journeys to the same place, so their trajectories show a high degree of temporal and spatial regularity. The other is that the number of repeated journeys for an individual commuter is greater than that of the repeated contacts with another commuter who possess similar seasonal movement patterns. Our main contributions include: we properly install store-and-forward routers based on vehicle mobility patterns and human regular movement behaviors; we also propose a router-centric prediction scheme that collects passenger historical trajectory information to determine the delivery scheme. The simulation results demonstrate that this approach improves delivery ratio and also reduces the delivery latency compared to memory (history)-less delivery scheme.
机译:路由是袖珍交换网络(PSN)中最具挑战性的开放问题之一。在本文中,我们提出了一种新颖的共同路由媒体内容转发方案(CRMF),其中为偶尔断开连接的移动用户创建了新的联系机会。我们的研究受到两个观察结果的启发:一是许多人倾向于定期前往同一地点,因此他们的轨迹显示出高度的时空规律性。另一个是,单个通勤者的重复旅程次数要多于与具有类似季节性运动方式的另一个通勤者的反复接触次数。我们的主要贡献包括:我们根据车辆的移动方式和人类正常的移动行为正确安装了存储和转发路由器;我们还提出了一种以路由器为中心的预测方案,该方案收集乘客的历史轨迹信息来确定交付方案。仿真结果表明,与无内存(历史记录)的交付方案相比,该方法提高了交付比率,并减少了交付延迟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号