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Link quality estimators for multi-hop mesh network

机译:用于多跳网网的链路质量估计

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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.
机译:本文考虑了估计网状网络中的链路质量的问题。这样的问题是开发一种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用于多跳通通信的继电器。在过去几年中,已经提出并分析了基于分组传递比的许多链路质量意识的路由度量。但是,很少有效解决了正确估计无线链路的传递比率的问题。因此,在本文中,我们采用了802.11b的网状网络来进行两种广泛采用的交付比率估计值之间的性能比较,即简单的移动平均值和指数加权的移动平均值,以及最近提出的基于神经网络范例。 。

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