无线传感器网络中一种高效的突发传输方案

Zeeshan Ansar, Jianjun Wen, E. D. Ayele, W. Dargie
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引用次数: 6

摘要

本文研究了无线传感器网络中链路质量波动及其对分组传输能力的影响。之前的独立研究已经证实,即使在静态部署中,链路质量也会波动,了解稳定的持续时间,无论好坏,都有助于高效传输数据包。我们提出了一个两阶段马尔可夫模型来表征链路质量波动,并确定节点在突发情况下何时和多长时间应该传输数据包。为了开发和测试我们的模型,我们在花园里部署了一个由14个节点组成的无线传感器网络,并通过不同的链路传输了超过120,000个数据包。实验结果证实,与基线相比,我们的方法将链路的分组传输能力提高了40%,与使用条件分布函数的方案相比,提高了25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Burst Transmission Scheme for Wireless Sensor Networks
This paper addresses link quality fluctuation and its impact on the packet delivery capacity of wireless sensor networks. Independent studies have previously confirmed that link quality fluctuates even in a static deployment and understanding stable durations, good and bad alike, can contribute to the efficient transmission of packets. We propose a two stage Markov model to characterise link quality fluctuation and to determine when and for how long nodes should transmit packets in burst. Both to develop and test our model, we deployed a wireless sensor network consisting of 14 nodes in a garden and transmitted more than 120,000 packets with different links. The experiment results confirm that our approach improved the packet delivery capacity of the links by up to 40% when compared with a baseline and by up to 25% when compared with a scheme that employs conditional distribution functions.
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