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JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Aug 2020
Next issue: Nov 2020
Avg review time: 70 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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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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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 in 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: 782 | Views: 181

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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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.


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


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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