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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2017
Next issue: Aug 2017
Avg review time: 74 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  1/2013 - 5

Performance Analysis and Modelling of a Radio Frequency Energy Harvesting System

CIRSTEA, C. See more information about CIRSTEA, C. on SCOPUS See more information about CIRSTEA, C. on IEEExplore See more information about CIRSTEA, C. on Web of Science, PETRITA, T. See more information about  PETRITA, T. on SCOPUS See more information about  PETRITA, T. on SCOPUS See more information about PETRITA, T. on Web of Science, POPESCU, V. See more information about  POPESCU, V. on SCOPUS See more information about  POPESCU, V. on SCOPUS See more information about POPESCU, V. on Web of Science, GONTEAN, A. See more information about GONTEAN, A. on SCOPUS See more information about GONTEAN, A. on SCOPUS See more information about GONTEAN, A. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (835 KB) | Citation | Downloads: 529 | Views: 2,501

Author keywords
energy harvesting, experimental setup, modelling, performance analysis, radio frequency, simulation

References keywords
networks(7), sensor(6), antennas(6), link(5), materials(4), communications(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2013-02-28
Volume 13, Issue 1, Year 2013, On page(s): 27 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.01005
Web of Science Accession Number: 000315768300005
SCOPUS ID: 84875296793

Abstract
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Full text preview
The development of autonomous battery powered systems which can be deployed in inaccessible locations for sensing applications has determined the development of various energy harvesting systems. Such an energy harvester is the one developed by Powercast which can convert the energy of radio frequency signals into useful power. A model of the harvested power can prove to be a useful tool for simulation purposes as it can provide, to some extent, prior knowledge of available energy resources when optimally deploying sensor networks. To obtain an accurate model of the harvested energy we have developed an experimental setup which has been used to determine the harvested power in two different environments, a hallway and a parking lot. We have developed the experimental setup to determine the amount of power available at the output of the radio frequency harvester which consists of a current measurement system and a data acquisition system. We have also modeled through simulations the harvested power based on the characteristics of the transmitter and receiver antennas and those of the environment. We have compared the results obtained through in field measurement with the ones obtained through simulation and we have shown that within certain margins of error of maximum 2 dBm one can successfully predict the amount of energy the system can harvest. However the RF-DC and Boost converter efficiency are also key factors in the quantity of harvested energy.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 297]


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[8] T. Le, K. Mayaram, T. Fiez, "Efficient Far-Field Radio Frequency Energy Harvesting for Passively Powered Sensor Networks," IEEE Journal of Solid-State Circuits, Vol. 43, Issue 5, 2008, pp. 1287-1302.
[CrossRef] [Web of Science Times Cited 254] [SCOPUS Times Cited 303]


[9] Powercast P2110 - 915 MHz RF Powerharvester Receiver, Product Datasheet Rev A, 2010, [Online] Available: Temporary on-line reference link removed - see the PDF document

[10] Powercast P2110-EVAL-01 Energy Harvesting Kit for Wireless Sensors, User's Manual, 2010, [Online] Available: Temporary on-line reference link removed - see the PDF document

[11] Powercast TX91501 - 915 MHz Transmitter User's Manual. 2010 Rev A [Online] Available: Temporary on-line reference link removed - see the PDF document

[12] A. Ignea, E. Marza, A. De Sabata, "Antene si Propagare" (English title: "Antennas and Propagation"), Editura de Vest, ISBN 973-36-0351-1, pp. 82, 2002.

[13] C. A. Balanis, "Modern Antenna Handbook," John Wiley & Sons, Inc, ISBN-10: 0470036346, pp. 3-56, 2008.

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[15] ISO 31-11:1992 Quantities and units -- Part 11: Mathematical signs and symbols for use in the physical sciences and technology

[16] T. PetriĆ¾a, "Approximation of antenna diagram for BTS antennas," in Proc. TSP2011, pp. 257 - 260, Budapest, Hungary, 2011.

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[18] T. G. Vasiliadis, A. G. Dimitriou, G.D. Sergiadis, "A Novel Technique for the Approximation of 3-D Antenna Radiation Patterns", IEEE Transactions on Antennas and Propagation, Vol. 53, No.7, July 2005.
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[19] R. P. Singh, M. P. Lal, T. "Laboratory measurement of dielectric constant and loss tangent of Indian rock samples", Annals of Geophysycs, Vol.33, No.1, 1980

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[21] J. Baker-Jarvis, M. D. Janezic, R. F. Riddle, R. T. Johnk, P. Kabos, C. Holloway, R. G. Geyer, C. A. Grosvenor, "Measuring the Permittivity and Permeability of Lossy Materials: Solids, Liquids, Metals, Building Materials, and Negative-Index Materials," NSIT technical note, 2005, pp.142

[22] T. Petrita, Comparison of two approximation models for near-field of BTS antennas, in proc. TSP2012, Prague, Czech Republic, 2012

[23] C. Cirstea, M. Cernaianu, A. Gontean, "An Inductive System for Measuring Microampere Currents", IEEE 18th International Symposium for Design and Technology in Electronic Packaging (SIITME 2012), 2012, pp.197-200
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[24] National Instruments 6251 multifunction data acquisition system [Online] Available: Temporary on-line reference link removed - see the PDF document

[25] Agilent N9320B RF Spectrum Analyzer 9kHz to 3 GHz [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 8,770 TCR
SCOPUS® Citations for all references: 15,298 TCR

Web of Science® Average Citations per reference: 337 ACR
SCOPUS® Average Citations per reference: 588 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-08-15 05:16 in 57 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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