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Efficient Routing Using Temporal Distance in Intermittently Connected Mobile Ad-Hoc Networks

机译:在间歇连接的移动自组织网络中使用时间距离的高效路由

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摘要

The analysis of real social, biological and technological networks has attracted a lot of attention as technological advances have given us a wealth of empirical data. For, analysis and investigation time varying graphs are used to understand the relationship, contact duration, repeated occurrence of contact. It is under exploring in intermittently connected networks. Now, by extending the same concept in intermittent networks, the efficiency of the routing protocol can be improved. This paper discusses about the temporal characterizing algorithm. Such characterization can help in accurately understanding dynamic behaviors and taking appropriate routing decisions. Therefore, the present research provokes exploring different possibilities of utilizing the same time varying network analyses and designing an Adaptive Routing protocol using temporal distance metric. The adaptive routing protocol is implemented using ONE simulator and is compared with the Epidemic and PropHET for delivery ratio, overhead and the number of dropped messages. The result reveals that Adaptive routing performs better than Epidemic and PropHET for real and synthetic datasets.
机译:随着技术的进步为我们提供了大量的经验数据,对真实的社会,生物和技术网络的分析引起了很多关注。因此,使用分析和调查时间变化图来了解关系,接触持续时间,接触的重复发生。正在间歇性连接网络中进行探索。现在,通过在间歇网络中扩展相同的概念,可以提高路由协议的效率。本文讨论了时间表征算法。这样的表征可以帮助准确地了解动态行为并做出适当的路由决策。因此,本研究激发了探索利用相同时变网络分析和使用时间距离度量设计自适应路由协议的不同可能性。自适应路由协议是使用ONE仿真器实现的,并与Epidemic和PropHET进行了比较,以了解传递比率,开销和丢弃的消息数。结果表明,对于真实和合成数据集,自适应路由的性能要优于Epidemic和PropHET。

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