多跳网状网络的链路质量估计

A. S. Cacciapuoti, M. Caleffi, L. Paura, M. A. Rahman
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引用次数: 13

摘要

本文研究了网状网络中链路质量的估计问题。这样的问题是开发高效网络层的主要任务,因为对链路质量的准确了解允许路由协议有效地使用邻居作为多跳通信的中继。在过去的几年中,已经提出并分析了许多基于分组传送率的链路质量感知路由度量。然而,很少有工作解决了正确估计无线链路传输比的问题。因此,在本文中,我们借助802.11b网状网络,对两种广泛采用的交付率估计器(即简单移动平均和指数加权移动平均)与最近提出的基于神经网络范式的交付率估计器进行性能比较。
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Link quality estimators for multi-hop mesh network
In this paper, the problem of estimating the link quality in mesh networks has been considered. Such a problem is a major task to develop an efficient network layer, since an accurate knowledge of the link qualities allows routing protocols to efficiently use neighbors as relays for multi-hop communications. In the last years, a number of link-quality aware routing metrics based on the packet delivery ratio have been proposed and analyzed. However, very few works have addressed the problem of correctly estimating the delivery ratio of a wireless link. Therefore, in this paper we resort to a 802.11b mesh network to carry on a performance comparison between two widely adopted delivery ratio estimators, namely the Simple Moving Average and the Exponentially Weighted Moving Average, and a recently proposed one based on the neural network paradigm.
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