Sifting through the airwaves: Efficient and scalable multiband RF harvesting

Parks, Aaron; Smith, Joshua R.

doi:10.1109/rfid.2014.6810715

Cited by 58 publications

(26 citation statements)

References 13 publications

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“…In [5], the authors describe why a simple serial combination of RF harvesters hinders current flow when some bands are not excited. This turns out to be due to the impact of the Because it's difficult to produce semiconductor switches which are normally-closed with no supply voltage present, a implements the full diode summation network described in [5].…”

Section: Designing For Efficient Power Summationmentioning

confidence: 99%

“…Some multi band harvesting topologies make use of multiple antennas or antennas with multiple ports [ 4], while others divide power from a single wideband antenna into multiple bands and match to multiple rectifiers [5], [6]. One common aspect across multi band harvester topologies is that power from each band is typically combined at DC, after rectification takes place.…”

Section: Introductionmentioning

confidence: 99%

“…In [5], a method for DC combination of power using a network of diodes is presented. However, in some cases the technique does not provide an efficiency improvement, and it is not clear when a benefit will be experienced.…”

Section: Introductionmentioning

confidence: 99%

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Active power summation for efficient multiband RF energy harvesting

Parks

Smith

2015

2015 IEEE MTT-S International Microwave Symposium

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Radio frequency scavenging power supplies tar geting ambient and/or intentional sources of energy present a reliability challenge when faced with single-source fading (both geographic and small scale), and this is an impediment to their practical adoption. Recent work has described simultaneous harvesting of power from multiple spectrally separated bands as a method to mitigate single-source fading. The method used for summation of DC output power from each band rectifier is critical in determining efficiency of the multi band harvester. Existing work explores a diode network topology for summation of power, but this network doesn't always provide a benefit over a naive implementation of power summation. This paper characterizes the costs and benefits of existing power summation topologies , and introduces a new intelligent switching method for summation which generally exceeds the performance of prior methods.

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Section: Designing For Efficient Power Summationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Active power summation for efficient multiband RF energy harvesting

Parks

Smith

2015

2015 IEEE MTT-S International Microwave Symposium

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“…As shown in Figure 6b, the efficiency of different energy harvesters varies over multiple decades. While only 5 µW/cm 2 can be extracted inductively from the radio signals emitted by a 4 km distant 1 MW television broadcast tower [Parks2014], 40 µW/cm can be harvested from a 10 K gradient using a Thermoelectric Generator (TEG). A Piezoelectric Generator (PEG) integrated in a shoe delivers about 330 µW/cm 2 while solar cells may generate up to 15 mW/cm 2 in a sunny environment [Stojcev2009].…”

Section: Wireless Sensor Network and Wireless Sensor Node Architecturesmentioning

confidence: 99%

A heterogeneous system architecture for low-power wireless sensor nodes in compute-intensive distributed applications

Engel

Koch

Siebel

2015

2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)

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Die Veröffentlichung steht unter folgender Creative Commons Lizenz: Namensnennung -Keine kommerzielle Nutzung -Keine Bearbeitung 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0 Erklärung zur DissertationHiermit versichere ich, die vorliegende Dissertation ohne Hilfe Dritter nur mit den angegebenen Quellen und Hilfsmitteln angefertigt zu haben. Alle Stellen, die aus Quellen entnommen wurden, sind als solche kenntlich gemacht. Diese Arbeit hat in gleicher oder ähnlicher Form noch keiner Prüfungsbehörde vorgelegen. Darmstadt, den 22.11.2016 (Andreas Engel) AbstractWireless Sensor Networks (WSNs) combine embedded sensing and processing capabilities with a wireless communication infrastructure, thus supporting distributed monitoring applications. WSNs have been investigated for more than three decades, and recent social and industrial developments such as home automation, or the Internet of Things, have increased the commercial relevance of this key technology. The communication bandwidth of the sensor nodes is limited by the transportation media and the restricted energy budget of the nodes. To still keep up with the ever increasing sensor count and sampling rates, the basic data acquisition and collection capabilities of WSNs have been extended with decentralized smart feature extraction and data aggregation algorithms. Energy-efficient processing elements are thus required to meet the ever-growing compute demands of the WSN motes within the available energy budget.The Hardware-Accelerated Low Power Mote (HaLoMote) is proposed and evaluated in this thesis to address the requirements of compute-intensive WSN applications. It is a heterogeneous system architecture, that combines a Field Programmable Gate Array (FPGA) for hardware-accelerated data aggregation with an IEEE 802.15.4 based Radio Frequency System-on-Chip for the network management and the top-level control of the applications. To properly support Dynamic Power Management (DPM) on the HaLoMote, a Microsemi IGLOO FPGA with a non-volatile configuration storage was chosen for a prototype implementation, called Hardware-Accelerated Low Energy Wireless Embedded Sensor Node (HaLOEWEn). As for every multi-processor architecture, the inter-processor communication and coordination strongly influences the efficiency of the HaLoMote. Therefore, a generic communication framework is proposed in this thesis. It is tightly coupled with the DPM strategy of the HaLoMote, that supports fast transitions between active and idle modes. Low-power sleep periods can thus be scheduled within every sampling cycle, even for sampling rates of hundreds of hertz.In addition to the development of the heterogeneous system architecture, this thesis focuses on the energy consumption trade-off between wireless data transmission and insensor data aggregation. The HaLOEWEn is compared with typical software processors in terms of runtime and energy efficiency in the context of three monitoring applications. The building blocks of these applications comprise hardware-acce...

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“…However, if creating a single frequency antenna with a complex input impedance is a known problem, it is a key challenge to design multi-frequency antennas with different complex input impedances in order to increase the harvested RF energy. Besides, using only one antenna and one circuit saves place and avoid the need to multiply circuits and antennas working each at only one frequency [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Design and Measurement of Multi-Frequency Antennas for Rf Energy Harvesting Tags

Leclerc¹,

Egels

Bergeret

2016

PIER

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Abstract-In this paper, a methodology to design non-50 Ω antennas for energy harvesting is presented. Two prototypes are simulated and realized on an epoxy substrate: one operating at 433 MHz and 900 MHz, the other at 900 MHz and 2.4 GHz. These antennas are designed to match the input impedances of an integrated radio-frequency harvester for an output voltage of 1 V, value chosen considering the voltage needed to power the new generation of micro-controllers and electronic circuits for the Internet of Things. The measurement results indicate a reflection coefficient below −10 dB at the frequencies of interest, validating the methodology.

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Sifting through the airwaves: Efficient and scalable multiband RF harvesting

Cited by 58 publications

References 13 publications

Active power summation for efficient multiband RF energy harvesting

Active power summation for efficient multiband RF energy harvesting

A heterogeneous system architecture for low-power wireless sensor nodes in compute-intensive distributed applications

Design and Measurement of Multi-Frequency Antennas for Rf Energy Harvesting Tags

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