The performance of low-power wireless sensing networks can be influenced by both external environmental factors and internal imperfections which often arise due to manufacturing tolerance during mass production. Understanding the conditions and extent of these influences is important not only to achieve high performance and high energy efficiency, but also to carry our environment and radio specific configurations. In this paper we demonstrate, through extensive practical deployments and experiments, the extent to which external and internal factors affect the link quality of low-power wireless sensor networks. Moreover, we propose a lightweight statistical outlier detection technique and define all the parameter thereof in terms of the statistics of both the raw and the predicted link quality metrics (RSSI). Our study considers more than 15 different physical environments consisting of rivers, lakes, bridges, forests, and gardens, as well as four widely employed heterogeneous low-power radios.

翻译：低功耗无线传感网络的性能可能受到外部环境因素和内部缺陷的共同影响，其中内部缺陷通常源于大规模生产过程中的制造公差。理解这些影响的条件及程度，不仅对实现高性能和高能效至关重要，而且对实现环境和无线电特定配置具有重要意义。本文通过大规模的实际部署与实验，展示了外部和内部因素影响低功耗无线传感器网络链路质量的程度。此外，我们提出了一种轻量级统计离群检测技术，并基于原始链路质量指标与预测链路质量指标（RSSI）的统计数据，定义了该技术的所有参数。本研究涵盖了超过15种不同的物理环境，包括河流、湖泊、桥梁、森林和花园，以及四种广泛使用的异构低功耗无线电设备。