根据机会网络中的社会互动,确定放置数据的最佳位置

H. Lenando, Goh Sing Sian, A. Khan, A. H. Fauzi
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引用次数: 0

摘要

机会网络是自组织移动通信范式的一种演变。由于间歇性连接、短连接持续时间和高度动态的拓扑结构,在机会网络中共享信息具有挑战性。许多研究提出了数据传播方法,以增加信息在最短时间内传递到目标节点的机会。本文提出了基于社会互动的最佳位置识别机制,以提高机会主义网络中数据传播的成功率。从仿真结果中,我们发现在高密度人口中,基于识别位置放置数据比随机放置数据增加了约38%的节点间数据交换。因此,将数据放置在正确的位置有助于数据在移动节点之间的有效传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identify the best location to place data based on social interaction in opportunistic network
Opportunistic networking is an evolution of Ad hoc mobile communication paradigm. Sharing information in opportunistic networks is challenging due to intermittent connectivity, short connection durations and a highly dynamic topology. Numbers of researches have proposed data dissemination approach to increase the chances of delivering information to the destination node with the minimum duration of time. This paper presents the mechanism of identifying the best location based on social interaction to increasing the data dissemination successful rate in opportunistic network. From the simulation results, we found that in the high density population, placing data based on identified location increases the data exchange between nodes about 38% compared to random data placement. Therefore placing data in the right place contribute the effective of data dissemination among mobile nodes.
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