How do the dynamics of battery discharge affect sensor lifetime?

L. Feeney, C. Rohner, Anders Lindgren
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引用次数: 23

Abstract

Evaluation of energy consumption and device lifetime in battery-powered wireless sensor networks (WSN) is almost exclusively based on estimates of the total charge (i.e. mA-h) consumed by the device. In reality, batteries are complex electro-chemical systems and their discharge behavior depends heavily on the timing and intensity of the applied load. However, there is very little empirical data or reliable models available for the kinds of batteries and loads that are typically used in WSN. The effect of battery dynamics on sensor lifetime is therefore not well understood. We characterize CR2032 Li coin cells using carefully controlled synthetic loads and a wide range of WSN-typical load parameters. Our results are the first to quantify in-depth the discharge behavior of primary batteries in the WSN context. We report that in some common cases, observed lifetimes can differ from predicted ones by almost a factor of three. Furthermore, loads with similar average currents - which would be expected to have similar lifetimes - can vary significantly in the amount of capacity they can utilize, with short duration loads generally faring better. The results show that energy evaluation based on a mA-h consumed model has significant limitations. This has important implications for the design and evaluation of WSN applications, as well as for practical problems in network dimensioning and lifetime prediction.
电池放电动态如何影响传感器寿命?
在电池供电的无线传感器网络(WSN)中,对能量消耗和设备寿命的评估几乎完全基于对设备消耗的总电荷(即mA-h)的估计。在现实中,电池是复杂的电化学系统,其放电行为在很大程度上取决于施加负载的时间和强度。然而,对于无线传感器网络中常用的电池和负载类型,很少有经验数据或可靠的模型可用。因此,电池动态对传感器寿命的影响还没有得到很好的理解。我们使用精心控制的合成负载和广泛的wsn典型负载参数来表征CR2032锂硬币电池。我们的研究结果是第一个深入量化WSN环境下原电池放电行为的研究。我们报告说,在一些常见的情况下,观察到的寿命与预测的寿命相差几乎是三倍。此外,具有相似平均电流的负载-预计具有相似的寿命-可以在它们可以利用的容量数量上显着变化,短持续时间负载通常表现更好。结果表明,基于mA-h消耗模型的能量评价存在明显的局限性。这对于WSN应用的设计和评估,以及网络维度和寿命预测等实际问题具有重要意义。
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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