Poster Abstract: Long-Term Energy-Neutral Operation of Solar Energy-Harvesting Sensor Nodes under Time-Varying Utility

Kai Geissdoerfer, R. Jurdak, B. Kusy
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引用次数: 1

Abstract

Sensor networks increasingly rely on harvesting energy from the environment to sense, process, and transmit data. Online energy availability forecasting and energy management are critical to ensure long-term energy-neutral operation of battery-powered energy-harvesting sensor nodes. Existing methods focus on applications with time-invariant utility and custom-tailored hardware platforms, which limits their effectiveness across diverse application domains, different platforms, and in the face of aging hardware components. To address these limitations, we formulate an optimisation problem with respect to time-varying utility under the given hardware constraints. We also present PREACT, an online energy-management algorithm that approximates the optimal solution to the optimisation problem by incorporating long-term energy forecasting.
摘要:时变效用下太阳能收集传感器节点的长期能量中性运行
传感器网络越来越依赖于从环境中收集能量来感知、处理和传输数据。在线能量可用性预测和能量管理是保证电池供电的能量收集传感器节点长期能量中性运行的关键。现有方法侧重于具有时不变实用程序和定制硬件平台的应用程序,这限制了它们在不同应用领域、不同平台以及面对老化硬件组件时的有效性。为了解决这些限制,我们在给定的硬件约束下制定了一个关于时变效用的优化问题。我们还提出了PREACT,这是一种在线能源管理算法,通过结合长期能源预测来近似优化问题的最佳解决方案。
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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