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Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks

机译:基于超级电容器的自主无线传感器网络的能量中性设计框架

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摘要

To design autonomous wireless sensor networks (WSNs) with a theoretical infinite lifetime, energy harvesting (EH) techniques have been recently considered as promising approaches. Ambient sources can provide everlasting additional energy for WSN nodes and exclude their dependence on battery. In this article, an efficient energy harvesting system which is compatible with various environmental sources, such as light, heat, or wind energy, is proposed. Our platform takes advantage of double-level capacitors not only to prolong system lifetime but also to enable robust booting from the exhausting energy of the system. Simulations and experiments show that our multiple-energy-sources converter (MESC) can achive booting time in order of seconds. Although capacitors have virtual recharge cycles, they suffer higher leakage compared to rechargeable batteries. Increasing their size can decrease the system performance due to leakage energy. Therefore, an energy-neutral design framework providing a methodology to determine the minimum size of those storage devices satisfying energy-neutral operation (ENO) and maximizing system quality-of-service (QoS) in EH nodes, when using a given energy source, is proposed. Experiments validating this framework are performed on a real WSN platform with both photovoltaic cells and thermal generators in an indoor environment. Moreover, simulations on OMNET++ show that the energy storage optimized from our design framework is utilized up to 93.86%.
机译:为了设计具有理论上无限寿命的自主无线传感器网络(WSN),最近已经考虑了能量收集(EH)技术。环境源可以为WSN节点提供持久的额外能量,并消除它们对电池的依赖。在本文中,提出了一种与各种环境资源(例如光能,热能或风能)兼容的高效能量收集系统。我们的平台利用了双级电容器,不仅可以延长系统寿命,而且还可以利用系统的耗尽能量实现可靠的启动。仿真和实验表明,我们的多能源转换器(MESC)可以达到几秒钟的启动时间。尽管电容器具有虚拟的充电周期,但与可充电电池相比,它们遭受的泄漏更大。由于泄漏的能量,增大它们的尺寸可能会降低系统性能。因此,一个能量中立的设计框架提供了一种方法,当使用给定的能源时,该方法可以确定满足能量中立运行(ENO)的那些存储设备的最小尺寸,并在EH节点中最大化系统服务质量(QoS),被提议。验证此框架的实验是在一个室内无线传感器网络平台上进行的,该平台具有光伏电池和热发生器。此外,在OMNET ++上的仿真表明,根据我们的设计框架优化的能量存储利用率高达93.86%。

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