A multi-tone RF energy harvester in body sensor area network context

Kuhn, Véronique; Seguin, Fabrice; Lahuec, Cyril; Person, Christian

doi:10.1109/lapc.2013.6711891

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…Extensive measurement campaigns within 300-3000 MHz in the urban and suburban areas of Covilhã, Portugal [6] and London, UK [7] have identified the most suitable bands for RF-EH. The conclusion is that the highest power density can be obtained from the global system for mobile (GSM) communications frequency bands in 900 MHz (GSM 900) and 1800 MHz (GSM 1800) [5][6][7][8].…”

Section: Rf-eh Circuitsmentioning

confidence: 99%

“…A wideband RF-EH rectenna operating within 900-2450 MHz for wearable sensors in outdoor environments was introduced in [5]. First, a thorough discussion on the different rectifier topologies (Fig.…”

Section: Solutions For Wearable Biomedical Sensorsmentioning

confidence: 99%

“…Radio-frequency (RF) transmissions from telecommunication networks can provide the ambient EM energy to power wearable sensors owing to their ubiquitous deployment in urban and suburban areas. For this sake, a rectifying antenna (rectenna) has to convert the received RF energy into direct current (DC) with the aid of a high-frequency filter, a rectifier, a DC filter and a resistive load [5].…”

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confidence: 99%

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Radio‐frequency energy harvesting for wearable sensors

Borges

Chávez-Santiago

Barroca

et al. 2015

Healthcare Technology Letters

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The use of wearable biomedical sensors for the continuous monitoring of physiological signals will facilitate the involvement of the patients in the prevention and management of chronic diseases. The fabrication of small biomedical sensors transmitting physiological data wirelessly is possible as a result of the tremendous advances in ultra-low power electronics and radio communications. However, the widespread adoption of these devices depends very much on their ability to operate for long periods of time without the need to frequently change, recharge or even use batteries. In this context, energy harvesting (EH) is the disruptive technology that can pave the road towards the massive utilisation of wireless wearable sensors for patient self-monitoring and daily healthcare. Radio-frequency (RF) transmissions from commercial telecommunication networks represent reliable ambient energy that can be harvested as they are ubiquitous in urban and suburban areas. The state-of-the-art in RF EH for wearable biomedical sensors specifically targeting the global system of mobile 900/1800 cellular and 700 MHz digital terrestrial television networks as ambient RF energy sources are showcased. Furthermore, guidelines for the choice of the number of stages for the RF energy harvester are presented, depending on the requirements from the embedded system to power supply, which is useful for other researchers that work in the same area. The present authors' recent advances towards the development of an efficient RF energy harvester and storing system are presented and thoroughly discussed too.

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Section: Rf-eh Circuitsmentioning

confidence: 99%

Section: Solutions For Wearable Biomedical Sensorsmentioning

confidence: 99%

mentioning

confidence: 99%

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Radio‐frequency energy harvesting for wearable sensors

Borges

Chávez-Santiago

Barroca

et al. 2015

Healthcare Technology Letters

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“…Consequently, choosing the rectifier topology implies a compromise between output voltage, incident power and DC output associations. The optimal trade-off, in the context of outdoor Wireless Sensor Nodes (WSN), is the single series diode structure as demonstrated in [29].…”

Section: Wideband Rf Harvester Architecturementioning

confidence: 99%

Enhancing RF-to-DC conversion efficiency of wideband RF energy harvesters using multi-tone optimization technique

Kuhn

Seguin

Lahuec

et al. 2014

Int. J. Microw. Wireless Technol.

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In this paper, a 1.8–2.6 GHz wideband rectenna is designed for radio frequency (RF) energy harvesting in the context of wireless sensor nodes (WSN). To assess the feasibility of ambient RF energy harvesting, the power density from RF base stations is analyzed through statistical measurements. Power density measurements are also performed close to Wi-Fi routers. Using these results, a methodology based on impedance matching network adaptation and maximum power transfer is proposed to design the wideband RF harvester. Using this method, three RF bands,i.e.GSM1800, UMTS and WLAN, are covered. The theoretical analysis is confirmed by simulations and measurements. From measurements results, the prototype RF-to-DC conversion efficiency is 15% at −20 dBm from 1.8 to 2.6 GHz. It is shown that with three RF sources in the chosen bands, each emitting at 10 dBm, the RF-to-DC conversion efficiency is 15% better compared to that measured with a single RF source. Finally, 7 µW is harvested at 50 m from a GSM1800 and UMTS base station. This value confirms the RF harvester workability to supply small sensors.

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“…The obtained results show a high dependence between the received power and the most efficient topology. A structure with a two-tone signal at 1.8 GHz and 2.4 GHz was shown in [ 17 ]. The results present a voltage output 20% higher in average when comparing with a single-tone input.…”

Section: Introductionmentioning

confidence: 99%

Passive Sensors for Long Duration Internet of Things Networks

Pereira

Correia

Carvalho

2017

Sensors

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In this work, three different concepts are used to develop a fully passive sensor that is capable of measuring different types of data. The sensor was supplied by Wireless Power Transmission (WPT). Communication between the sensor and reader is established by a backscatter, and to ensure minimum energy consumption, low power techniques are used. In a simplistic way, the process starts by the transmission of two different waves by the reader to the sensor, one of which is used in power transmission and the other of which is used to communicate. Once the sensor is powered, the monitoring process starts. From the monitoring state, results from after processing are used to modulate the incoming wave, which is the information that is sent back from the reader to the tag. This new combination of technologies enables the possibility of using sensors without any cables or batteries to operate 340 cm from the reader. The developed prototype measures acceleration and temperature. However, it is scalable. This system enables a new generation of passive Internet of Things (IoT) devices.

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A multi-tone RF energy harvester in body sensor area network context

Cited by 15 publications

References 9 publications

Radio‐frequency energy harvesting for wearable sensors

Radio‐frequency energy harvesting for wearable sensors

Enhancing RF-to-DC conversion efficiency of wideband RF energy harvesters using multi-tone optimization technique

Passive Sensors for Long Duration Internet of Things Networks

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