Statistical analysis of packet delay in ad-hoc networks of mobile robots

Malgorzata Gadomska-Kudelska, Michal Kudelski, Andrzej Pacut
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Abstract

We perform analysis of packet end-to-end delay in order to explain the processes taking place in the network. We build statistical models to describe the packets end-to-end delay distribution. Our experiments show that packet delay in an ad-hoc network of mobile robots depends on the number of hops traveled by the packet. We intend to use this dependency when implementing a modification of the learning model of ant routing algorithms addressed to improve their performance in such demanding environments.
移动机器人自组织网络中数据包延迟的统计分析
我们对数据包端到端延迟进行分析,以解释网络中发生的过程。我们建立了统计模型来描述数据包的端到端延迟分布。我们的实验表明,移动机器人的自组织网络中的数据包延迟取决于数据包所经过的跳数。我们打算在实现对蚂蚁路由算法的学习模型的修改时使用这个依赖项,以提高它们在这种苛刻环境中的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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