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A neighborhood contact history based spraying heuristic for delay tolerant networks

机译:基于邻域接触历史的喷涂启发式方法用于延迟容忍网络

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摘要

Recent studies based on the mobility traces taken from real delay tolerant networks show that in these networks a node movement does not occur in a totally random way. During movement, there is a greater likelihood that nodes meet again some of their past neighbors. But traditional spraying heuristics of Spray and Wait naively split copies between encountered nodes (for example, binary Spray and Wait halves copies), but do not necessarily use other available information such as neighborhood contact history. If node A encounters node B which might have never contacted with other nodes, handing over half of the copies to such a node means these copies will probably not be transmitted to the destination which is very inefficient. In this paper, we propose a spraying heuristic which is based on neighborhood contact history. For the simulation, we have used Opportunistic Network Environment (ONE) Simulator. The simulation results show that our proposed heuristic performs much better than binary spraying heuristic.
机译:基于从真实的延迟容忍网络中获取的移动性轨迹的最新研究表明,在这些网络中,节点的移动不会以完全随机的方式发生。在移动过程中,节点再次遇到其过去邻居的可能性更大。但是,传统的“喷涂和等待”喷涂试探法会天真地在遇到的节点之间拆分副本(例如,二进制“喷涂”和“等待”一半副本),但不一定使用其他可用信息,例如邻居联系历史。如果节点A遇到了可能从未与其他节点联系过的节点B,则将一半副本移交给这样的节点,这意味着这些副本可能不会传输到效率很低的目的地。在本文中,我们提出了一种基于邻域接触历史的喷涂启发式方法。对于模拟,我们使用了机会网络环境(ONE)模拟器。仿真结果表明,我们提出的启发式算法比二元喷涂启发式算法具有更好的性能。

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