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Mobility Helps Data Delivery in Disruption Tolerant Networks

机译:移动性有助于容错网络中的数据传递

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Sensor networks using mobile robots have recently been proposed to deal with data communication in disruption tolerant networks (DTNs) where an instantaneous end-to-end path between a source and destination may not exist. In such network scenarios, a node should move to deliver data to the destination. In this paper, we study adaptive formations of mobile robots based on the knowledge of network topology held by each node. Different node formations are applied when nodes have neighboring, clustering, or perfect information of network. Node formations also depend on traffic patterns, e.g., single and multiples packets per event. We introduce a straight line formation called pipeline for delivering multiple packets continuously. The benefit of controlled mobility in DTNs is validated through the ns-2 simulation tool by comparing with the ideal cases.
机译:最近已经提出了使用移动机器人的传感器网络来处理容灾网络(DTN)中的数据通信,在该网络中,源和目的地之间可能没有即时的端到端路径。在这种网络情况下,节点应移动以将数据传递到目的地。在本文中,我们基于每个节点拥有的网络拓扑知识来研究移动机器人的自适应构造。当节点具有网络的相邻信息,集群信息或完美信息时,将应用不同的节点形式。节点的形成还取决于流量模式,例如每个事件的单个和多个数据包。我们介绍了一种称为流水线的直线形式,用于连续传送多个数据包。通过与理想情况进行比较,通过ns-2仿真工具验证了DTN中受控移动性的好处。

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