E-WEHP: A Batteryless Embedded Sensor-Platform Wirelessly Powered From Ambient Digital-TV Signals

Vyas, Rushi; Cook, Benjamin S.; Kawahara, Yoshihiro; Tentzeris, Manos M.

doi:10.1109/tmtt.2013.2258168

Cited by 190 publications

(104 citation statements)

References 23 publications

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“…We recently demonstrated this concept in a prototype that allowed a Mica2 mote to operate continuously in the 915 MHz ISM band whenever the incident signal strength was above −6 dBm [1], as shown in Figure 1(a). Moreover, developments in [2], as well as initial results circuits constructed by us (and shown in Figure 1(b)) have pointed to the possibility of RF harvesting in the digital TV band, around 614 MHz. We call these two types of sensors that can harvest in the TV band or in the 915 MHz ISM band as Type I and Type II sensors respectively.…”

Section: Introductionmentioning

confidence: 90%

“…An ambient RF energy scavenger that harvest the RF power of a TV signal through an inkjet-printed dipole antenna and a charge pump was shown in [16] and [17]. The multi-channel OFDM nature of TV signals has been exploited in [2] for powering an embedded microcontroller. Shigeta et al [18] introduced a capacitor-leakage-aware duty cycle control method for sensor nodes powered with digital TV broadcasting signal waves, which captures the long-term and short-term fluctuations of TV signals due to the scheduled facility.…”

Section: Related Workmentioning

confidence: 99%

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A dual-band wireless energy transfer protocol for heterogeneous sensor networks powered by RF energy harvesting

Nintanavongsa

Naderi

Chowdhury

2013

2013 International Computer Science and Engineering Conference (ICSEC)

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Abstract-Radio frequency (RF) energy harvesting promises to realize battery-less sensor networks by converting energy contained in electromagnetic waves into useful electrical energy. We consider a network architecture that allows heterogeneous frequency harvesting. One class of sensors harvests RF energy on the DTV band (614 MHz) while another uses the 915 MHz ISM band. We study the effective energy transfer that is achieved under these circumstances, and then design a link layer protocol called RF-HSN that optimizes the energy delivery to energyhungry sensors with the optimal duty cycle. To the best of our knowledge, this is the first wireless energy transfer protocol for heterogeneous frequency RF energy harvesting, and through a combination of experimentation and simulation studies, we demonstrate over 59% higher duty cycle and 66% average network throughput improvement over the classical CSMA MAC protocol.

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Section: Introductionmentioning

confidence: 90%

Section: Related Workmentioning

confidence: 99%

A dual-band wireless energy transfer protocol for heterogeneous sensor networks powered by RF energy harvesting

Nintanavongsa

Naderi

Chowdhury

2013

2013 International Computer Science and Engineering Conference (ICSEC)

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“…Because of the strong decay of the EM far-field, the RF output power of the transmitter should often be in the kilo-watts region, which is usually best fulfilled by digital TV broadcast stations. As experimentally demonstrated in downtown Tokyo, a micro-controller was powered wirelessly by 9 TV channels in the frequency range of 512-566 MHz of a local TV broadcast station 6.3 km away [32]. The measured average harvested DC-power of the system was ≈15-17 µW at 4.1 V, whereby the system consisted of a relatively large log-periodic antenna, a discrete RF charge-pump, and the PIC24F micro-controller.…”

Section: Energy Harvestingmentioning

confidence: 99%

From microwatt to gigabit: challenges of modern radio design

Pretl¹,

Faseth²,

Schumacher³

et al. 2018

Elektrotech. Inftech.

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On the brink of introducing the fifth generation (5G) of cellular networks, the art of radio-frequency (RF) integrated circuit design has never seen such a wide spread of diverging requirements:On the one hand, ubiquitous sensor networks are mandating power budgets in the order of micro-watt. They should be constructed as energy-autonomous, wireless, low-cost sensor nodes. This demand is caused by massive deployment scenarios of billions of devices, which makes wires and batteries unpractical. As a result, the desire for the radio nodes to harvest their operational energy from the environment emerges.On the other hand, the recent and ongoing realization of gigabit-per-second capable cellular modems is driving hardware and power requirements to extremes. To overcome hardware limitations, introduced by analog impairments, digital correction and alignment algorithms are employed for compensation. These factors call for usage of expensive advanced CMOS technology nodes and increased utilization of digital signal processing techniques.In this paper, we recap ongoing trends and developments for ultra-low power and high-end transceiver (TRX) designs using CMOS technology nodes ranging from low-cost to highest performance.Keywords: RF; ultra-low-power; wireless architectures; transceiver; mixed-signal circuits; 5G Von Mikrowatt zu Gigabit: Herausforderungen beim Design moderner Funkübertragungssysteme. Neben der Einführung der zellularen Mobilfunknetze der fünften Generation (5G) muss sich auch die integrierte HochfrequenzSchaltungstechnik einer noch nie dagewesenen Breite an unterschiedlichen Anforderungen stellen: Auf der einen Seite gibt es überall kabellose Sensornetzwerke, denen nur eine geringe Menge an Versorgungsleistung im MikrowattBereich zur Verfügung steht. Daher müssen die Chips in diesem Bereich energieautark und möglichst kostengünstig entwickelt werden. Aufgrund der zu erwartenden hohen Stückzahlen (Milliarden von unterschiedlichsten Sensoren für verschiedene Anwendungen) sind eine drahtgebundene Energieversorgung oder der Einsatz von Batterien in vielen Fällen praktisch unmöglich. Somit wird es für die Sensoren immer wichtiger, ihre Energieversorgung aus der Umgebung zu gewinnen (Stichwort Energy Harvesting).

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“…There are plenty of different kinds of RF sources, such as Very High Frequencies (VHF) radio, Ultra High Frequencies (UHF) TV signals, or Wi-Fi signals, which can possibly be used as the power source of low-power devices and wearable sensors, especially in urban areas, for example [38], [39]. A typical characteristic of microwaves is their capability to penetrate opaque walls making them available in more locations than other ambient energy sources such as solar and vibration, although the power density of RF signals is usually lower than other sources [40].…”

Section: Wireless Energy Harvesting For Wearablesmentioning

confidence: 99%

Inkjet‐Printed Smart Skins and Wirelessly‐Powered Sensors for Wearable Applications

Kimionis

Tentzeris

2016

Electromagnetics of Body Area Networks

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E-WEHP: A Batteryless Embedded Sensor-Platform Wirelessly Powered From Ambient Digital-TV Signals

Cited by 190 publications

References 23 publications

A dual-band wireless energy transfer protocol for heterogeneous sensor networks powered by RF energy harvesting

A dual-band wireless energy transfer protocol for heterogeneous sensor networks powered by RF energy harvesting

From microwatt to gigabit: challenges of modern radio design

Inkjet‐Printed Smart Skins and Wirelessly‐Powered Sensors for Wearable Applications

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