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Modeling packet loss rate of IEEE 802.15.4 links in diverse environmental conditions

机译:在各种环境条件下对IEEE 802.15.4链路的丢包率进行建模

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Modeling and prediction of Packet Loss Rate (PLR) of wireless links using hardware information is essential for the design of higher-layer protocols in Wireless Sensor Networks. While many previous studies revealed the spatio-temporal variation of various link quality metrics, how environment impacts on the mapping between PLR and hardware indicators still remains unclear. Without a comprehensive understanding of such environmental impact, the acquired empirical PLR models are severely limited to specific scenarios. In this paper, we present the results of indoor and outdoor experimental campaigns focusing on the impact of various environmental factors (e.g., obstacles, human activities, climate conditions) on the dependency between the link PLR, signal to noise ratio (SNR) and packet length. Rich observations are made on the spatio-temporal characteristics of the PLR-SNR relationship and our analysis shows that link PLR can be modeled, in all experimented scenarios, as an exponential function of SNR and packet length with two model parameters that may vary over space and time. Besides, implications of the observations are summarized, providing guidelines to construct and adapt PLR models in different environments.
机译:使用硬件信息对无线链路的丢包率(PLR)进行建模和预测对于无线传感器网络中更高层协议的设计至关重要。尽管许多先前的研究揭示了各种链路质量指标的时空变化,但是环境如何影响PLR和硬件指标之间的映射仍然不清楚。如果不全面了解这种环境影响,则获得的经验性PLR模型将严格限于特定方案。在本文中,我们介绍了室内和室外实验活动的结果,重点关注各种环境因素(例如障碍物,人类活动,气候条件)对链路PLR,信噪比(SNR)和数据包之间的依存关系的影响长度。对PLR-SNR关系的时空特征进行了丰富的观察,我们的分析表明,在所有实验情况下,链路PLR均可作为SNR和数据包长度的指数函数进行建模,其中两个模型参数可能随空间而变化和时间。此外,总结了这些意见的含义,为在不同环境中构建和调整PLR模型提供了指导。

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