Social based throwbox placement in large-scale throwbox-assisted Delay Tolerant Networks
Social based throwbox placement in large-scale throwbox-assisted Delay Tolerant Networks
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DOI：
10.1109/icc.2014.6883694
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发表时间：
2014-06
期刊：
影响因子：
--
通讯作者：
Zhu Ying;Chao Zhang-;Yu Wang
中科院分区：
文献类型：
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作者：
Zhu Ying;Chao Zhang-;Yu Wang
延迟容忍网络(DTN)的最新进展允许在间歇性接触期间通过机会通信在移动设备之间传送分组。然而，缺乏丰富的联系机会仍然导致DTN路由的投递率低和时延长，特别是对于大规模网络。部署额外的固定投掷框可以创造更多的联系机会，从而提高DTN路由的性能。然而，部署投掷盒的位置对这种改进至关重要。在本文中，我们研究了在大规模投掷盒辅助的DTN中在哪里部署投掷盒。通过利用从现实生活跟踪数据中发现的社会属性，我们提出了一套基于社会的投掷框放置算法，该算法智能地选择每个投掷框的位置。使用真实的无线跟踪数据集和各种现有的DTN路由方法进行了广泛的模拟。实验结果证实了所提方法的有效性。
Recent advances in Delay Tolerant Networks (DTNs) allow delivering packets among mobile devices via opportunistic communications during intermittent contacts. However, the lack of rich contact opportunities still causes poor delivery ratio and long delay of DTN routing, especially for large-scale networks. Deployment of additional stationary throwboxes can create a greater number of contact opportunities, thus improve the performance of DTN routing. However, the locations of deployed throwboxes are critical to such improvement. In this paper, we investigate where to deploy throwboxes in a large-scale throwbox-assisted DTN. By leveraging the social properties discovered from real-life tracing data, we propose a set of social-based throwbox placement algorithms which smartly pick the location of each throwbox. Extensive simulations are conducted with a real-life wireless tracing dataset and a wide range of existing DTN routing methods. The results confirm the efficiency of the proposed methods.