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A swarm intelligent multi-path routing for multimedia traffic over mobile ad hoc networks

机译:群智能多路径路由,用于移动自组织网络上的多媒体流量

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In the last few years, the advance of multimedia applications has prompted researchers to undertake the task of routing multimedia data through Manet. This task is rather difficult due to the highly dynamic topology of mobile ad hoc networks and their limited bandwidth. Actually, different routing algorithms are proposed in order to route various kinds of sources (such as voice, video, or data) with diverse traffic characteristics and Quality of Service Requirements (QoS). These algorithms must take into account significant traffic problems such as packet losses, transmission delays, delay variations, etc, caused mainly by congestion in the networks. The prediction of these problems in real time is quite difficult, making the effectiveness of "traditional" protocols based on analytical models questionable. We propose in this paper a solution based on swarm intelligence paradigm that we find more adapted for this kind of problems.
机译:在过去的几年中,多媒体应用的发展促使研究人员承担了通过Manet路由多媒体数据的任务。由于移动自组织网络的高度动态拓扑及其有限的带宽,此任务相当困难。实际上,提出了不同的路由算法,以路由具有不同流量特性和服务质量要求(QoS)的各种源(例如语音,视频或数据)。这些算法必须考虑主要由网络拥塞引起的重大流量问题,例如数据包丢失,传输延迟,延迟变化等。实时预测这些问题非常困难,使得基于分析模型的“传统”协议的有效性令人怀疑。我们在本文中提出了一种基于群体智能范式的解决方案,我们发现它更适合此类问题。

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