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首页> 外文会议>9th ACM/IEEE international conference on information processing in sensor networks 2010 >Data Stashing: Energy-Efficient Information Delivery to Mobile Sinks through Trajectory Prediction
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Data Stashing: Energy-Efficient Information Delivery to Mobile Sinks through Trajectory Prediction

机译：数据存储：通过轨迹预测将节能信息传递到移动接收器

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摘要

In this paper, we present a routing scheme that exploits knowledge about the behavior of mobile sinks within a network of data sources to minimize energy consumption and network congestion. For delay-tolerant network applications, we propose to route data not to the sink directly, but to send it instead to a relay node along an announced or predicted path of the mobile node that is close to the data source. The relay node will stash the information until the mobile node passes by and picks up the data. We use linear programming to find optimal relay nodes that minimize the number of necessary transmissions while guaranteeing robustness against link and node failures, as well as trajectory uncertainty. We show that this technique can drastically reduce the number of transmissions necessary to deliver data to mobile sinks. We derive mobility and association models from real-world data traces and evaluate our data stashing technique in simulations. We examine the influence of uncertainty in the trajectory prediction on the performance and robustness of the routing scheme.
机译：在本文中，我们提出了一种路由方案，该方案利用有关数据源网络内移动接收器行为的知识来最大程度地减少能耗和网络拥塞。对于延迟容忍的网络应用，我们建议不将数据直接路由到接收器，而是将数据沿着靠近数据源的移动节点的已通告或预测的路径发送到中继节点。中继节点将存储信息，直到移动节点经过并拾取数据为止。我们使用线性编程来找到最佳的中继节点，该节点在保证针对链路和节点故障以及轨迹不确定性的鲁棒性的同时，将必要传输的数量减至最少。我们表明，该技术可以大大减少将数据传输到移动接收器所需的传输次数。我们从真实世界的数据跟踪中得出移动性和关联模型，并在仿真中评估我们的数据存储技术。我们检查了轨迹预测中的不确定性对路由方案的性能和鲁棒性的影响。

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