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On the effects of cognitive mobility prediction in wireless multi-hop ad hoc networks

机译:无线多跳自组织网络中认知移动性预测的影响

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In this paper, we address an important problem in mobile ad hoc networks, namely, the intrinsic inefficiency of the standard transmission control protocol (TCP), which has not been designed to work in these types of networks. After an initial training phase, we predict the mobility status of the network through a probabilistic approach, and we propose a series of ad hoc strategies to counteract the TCP inefficiency based on this prediction. Via simulation, we show the performance improvements in various wireless scenarios, in terms of increased average throughput and decreased length of the outage intervals. The significant performance improvements shown here will be verified in a future work by implementing our approach in a real testbed.
机译:在本文中,我们解决了移动自组织网络中的一个重要问题,即标准传输控制协议(TCP)的固有效率低下,而该协议尚未设计用于这些类型的网络。在初始训练阶段之后,我们通过概率方法预测网络的移动性状态,并基于此预测,提出了一系列临时策略来抵消TCP效率低下的问题。通过仿真,我们显示了在各种无线场景中的性能改进,包括增加的平均吞吐量和减少的停机间隔时间。通过在真实的测试平台上实施我们的方法,将在以后的工作中验证此处显示的显着性能改进。

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