On-Chip Photovoltaic Power Harvesting System With Low-Overhead Adaptive MPPT for IoT Nodes

Mondal, Saroj; Paily, Roy

doi:10.1109/jiot.2017.2692383

Cited by 47 publications

(21 citation statements)

References 25 publications

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“…Using PoF can be cost-effective, achieving service continuity by remotely charging a node with local battery, and providing the ability of sending back information about link or device status as well as the measured information to the transmitter side in the case of a smart IoT home node. Moreover, this solution is compatible with potential energy harvesting capabilities embedded [28] in the node.…”

Section: Power Over Fiber Integration In Indoor Solutionsmentioning

confidence: 99%

SI-POF Supporting Power-Over-Fiber in Multi-Gbit/s Transmission for In-Home Networks

Al-Zubaidi

Montero

Vázquez

2021

J. Lightwave Technol.

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We propose the integration of power-over-fiber (PoF) in home networks with multi Gbit/s data transmission based on wavelength-division-multiplexing (WDM) in step-index plastic optical fibers (SI-POF). Different powering architectures are described. The efficiencies of different components are discussed to address the maximum remote energy that can be delivered. Experimental results show the ability of the system to deliver several mW of optical power with negligible data signal quality degradation and with BER of 1×10-10. The potential of utilizing PoF in combination with low-loss WDM-POF to optically powering multiple devices for specific in-home applications and IoT ecosystems is discussed. A PoF scalability analysis is detailed.

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Section: Power Over Fiber Integration In Indoor Solutionsmentioning

confidence: 99%

SI-POF Supporting Power-Over-Fiber in Multi-Gbit/s Transmission for In-Home Networks

Al-Zubaidi

Montero

Vázquez

2021

J. Lightwave Technol.

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“…This introduces d NOL as a new control variable that will be utilized in this technique. Since V OUT and P ROUT are functions of I OUT-avg , V OUT and P ROUT are also now functions of d NOL as shown in (9) and (10), respectively. In these equations, n is the voltage conversion ratio and is equal to 2 for a voltage doubler.…”

Section: A Design Featuresmentioning

confidence: 99%

“…To enable this, WSN nodes are equipped with a microcontroller and transceiver, as shown in Fig. 1 [4], [9]. Wearable and implantable WSN nodes are offgrid and small-sized.…”

Section: Introductionmentioning

confidence: 99%

“…The required small form-factor results in limited-capacity batteries that would require periodic replacement. Thus, to minimize maintenance costs and interruptions, increasing lifetime, and ultimately achieving energy autonomy in WSNs is of utmost importance [9], [10]. Power-hungry blocks, such as the transceiver in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…In [17], MPPT power consumption is reduced by introducing capacitor value modulation instead of conventional frequency tuning. In [9], MPPT overhead power consumption is reduced by utilizing an inherent feedback loop between the CP and the oscillator to eliminate some MPPT circuit blocks and sensors. In [1] and [20], twodimensional (2D) MPPT tunes the frequency and the voltage conversion ratio to achieve good PCE at multiple input voltages.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Input Power-Aware Efficiency Tracking Technique With Discontinuous Charging for Energy Harvesting Applications

2020

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This paper proposes a discontinuous charging technique for switched-capacitor converters that improves the power conversion efficiency (PCE) at low power levels and extends the input power harvesting range at which high PCE is achievable. Discontinuous charging delivers current to energy storage only during clock non-overlap time. This enables tuning of the output current to minimize converter losses based on the available input power. Based on this fundamental result, an input power-aware, two-dimensional efficiency tracking technique for Wireless Sensor Network (WSN) nodes is presented. In addition to conventional switching frequency control, clock non-overlap time control is introduced to adaptively optimize PCE according to the sensed ambient power levels. The proposed technique is designed and simulated in 90nm CMOS with post-layout extraction. Under the same input and output conditions, the proposed system maintains at least 45% PCE at 4µW input power, as opposed to a conventional continuous system which requires at least 18.7µW to maintain the same PCE. Therefore, the input power harvesting range is extended by 1.5x. The technique is applied to a wearable WSN implementation utilizing the IEEE 802.15.4-compatible GreenNet communications protocol. This allows the node to meet specifications and achieve energy autonomy when deployed in environments where the input power is 49% lower than what is required for conventional operation.

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An Overview of Energy Harvesting Techniques for Future Internet of Things Applications

Saravanan¹,

Ajayan²,

Jondhale³

et al. 2020

Internet of Things in Smart Technologies for Sustainable Urban Development

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On-Chip Photovoltaic Power Harvesting System With Low-Overhead Adaptive MPPT for IoT Nodes

Cited by 47 publications

References 25 publications

SI-POF Supporting Power-Over-Fiber in Multi-Gbit/s Transmission for In-Home Networks

SI-POF Supporting Power-Over-Fiber in Multi-Gbit/s Transmission for In-Home Networks

An Input Power-Aware Efficiency Tracking Technique With Discontinuous Charging for Energy Harvesting Applications

An Overview of Energy Harvesting Techniques for Future Internet of Things Applications

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