能量收集
无线传感器网络
能量(信号处理)
能源消耗
无线
瓶颈
计算机科学
无线传感器网络中的密钥分配
功率(物理)
电气工程
储能
可用能量
实时计算
计算机网络
嵌入式系统
工程类
无线网络
电信
物理
量子力学
作者
Tingwen Ruan,Zheng Jun Chew,Meiling Zhu
标识
DOI:10.1109/jsen.2017.2665680
摘要
Intensive research on energy harvesting powered wireless sensor nodes (WSNs) has been driven by the needs of reducing the power consumption by the WSNs and increasing the power generated by energy harvesters. The mismatch between the energy generated by the harvesters and the energy demanded by the WSNs is always a bottleneck as the ambient environmental energy is limited and time varying. This paper introduces a combined energy-aware interface with an energy-aware program to deal with the mismatch through managing the energy flow from the energy storage capacitor to the WSNs. These two energy-aware approaches were implemented in a custom developed vibration energy harvesting powered WSN. The experimental results show that, with the 3.2-mW power generated by a piezoelectric energy harvester under an emulated aircraft wing strain loading of $600~\mu \varepsilon $ at 10 Hz, the combined energy-aware approaches enable the WSN to have a significantly reduced sleep current from $28.3~\mu \text{A}$ of a commercial WSN to $0.95~\mu \text{A}$ and enable the WSN operations for a long active time of about 1.15 s in every 7.79 s to sample and transmit a large number of data (388 B), rather than a few ten milliseconds and a few bytes, as demanded by vibration measurement. When the approach was not used, the same amount of energy harvested was not able to power the WSN to start, not mentioning to enabling the WSN operation, which highlighted the importance and the value of the energy-aware approaches in enabling energy harvesting powered WSN operation successfully.
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