The κ factor: inferring protocol performance using inter-link reception correlation

K. Srinivasan, Mayank Jain, J. Choi, T. Azim, Edward S. Kim, P. Levis, B. Krishnamachari
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引用次数: 147

Abstract

This paper explores metrics that capture to what degree packet reception on different links is correlated. Specifically, it explores metrics that shed light on when and why opportunistic routing and network coding protocols perform well (or badly). It presents a new metric, κ that, unlike existing widely used metrics, has no bias based on the packet reception ratios of links. This lack of bias makes κ a better predictor of performance of opportunistic routing and network coding protocols. Comparing Deluge and Rateless Deluge, Deluge's network coding counterpart, we find that κ can predict which of the two is best suited for a given environment. For example, irrespective of the packet reception ratios of the links, if the average κ of the link pairs is very high (close to 1.0), then using a protocol that does not code works better than using a network coding protocol. Measuring κ on several 802.15.4 and 802.11 testbeds, we find that it varies significantly across network topologies and link layers. κ can be a metric for quantifying what kind of a network is present and help decide which protocols to use for that network.
κ因子:利用链路间接收相关性推断协议性能
本文探讨了捕获不同链路上数据包接收相关程度的度量。具体来说,它探讨了揭示机会路由和网络编码协议何时以及为什么表现良好(或糟糕)的指标。它提出了一个新的度量,κ,与现有的广泛使用的度量不同,它没有基于链路的数据包接收比的偏差。这种偏差的缺乏使得κ能更好地预测机会路由和网络编码协议的性能。比较“洪水”和“无速率洪水”,我们发现κ可以预测两者中哪一个最适合给定的环境。例如,不管链路的数据包接收比如何,如果链路对的平均κ非常高(接近1.0),那么使用不编码的协议比使用网络编码协议效果更好。在几个802.15.4和802.11测试台上测量κ,我们发现它在网络拓扑和链路层之间变化很大。κ可以是量化网络类型的度量,并有助于决定该网络使用哪种协议。
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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