IEA: An Intermittent Energy Aware Platform for Ultra-Low Powered Energy Harvesting WSN

Zhang, Yang; Gao, Hong; Cheng, Siyao; Cai, Zhipeng; Li, Jianzhong

doi:10.1007/978-3-319-60033-8_17

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…4. The circuit starts to supply power only when the C 1 voltage exceeds 2.1 V. When the C 1 voltage is below 2.0 V, the power supply switches off to avoid wasting energy because the chips are powered insufficiently and may consume an abnormal amount of energy [30] . Furthermore, the RTC module holds the synchronous clock by relying on the internal capacitor, so the module has to wake up the nodes before the capacitor voltage is less than 1.1 V, which prevents the loss of synchronization.…”

Section: Double-stage Energy Storage and Synchronous Wakeupmentioning

confidence: 99%

An Efficient EH-WSN Energy Management Mechanism

Zhang

Gao

Cheng

et al. 2018

Tinshhua Sci. Technol.

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An Energy-Harvesting Wireless Sensor Network (EH-WSN) depends on harvesting energy from the environment to prolong network lifetime. Subjected to limited energy in complex environments, an EH-WSN encounters difficulty when applied to real environments as the network efficiency is reduced. Existing EH-WSN studies are usually conducted in assumed conditions in which nodes are synchronized and the energy profile is knowable or calculable. In real environments, nodes may lose their synchronization due to lack of energy. Furthermore, energy harvesting is significantly affected by multiple factors, whereas the ideal hypothesis is difficult to achieve in reality. In this paper, we introduce a general Intermittent Energy-Aware (IEA) EH-WSN platform.For the first time, we adopted a double-stage capacitor structure to ensure node synchronization in situations without energy harvesting, and we used an integrator to achieve ultra-low power measurement. With regard to hardware and software, we provided an optimized energy management mechanism for intermittent functioning. This paper describes the overall design of the IEA platform, and elaborates the energy management mechanism from the aspects of energy management, energy measurement, and energy prediction. In addition, we achieved node synchronization in different time and energy environments, measured the energy in reality, and proposed the light weight energy calculation method based on measured solar energy. In real environments, experiments are performed to verify the high performance of IEA in terms of validity and reliability. The IEA platform is shown to have ultra-low power consumption and high accuracy for energy measurement and prediction.

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Section: Double-stage Energy Storage and Synchronous Wakeupmentioning

confidence: 99%