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JCR Impact Factor: 0.650
JCR 5-Year IF: 0.639
Issues per year: 4
Current issue: May 2019
Next issue: Aug 2019
Avg review time: 80 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

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.

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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.

Read More »


    
 

  2/2013 - 7

Antenna Radiation Pattern Influence on the Localization Accuracy in Wireless Sensor Networks

COCA, E. See more information about COCA, E. on SCOPUS See more information about COCA, E. on IEEExplore See more information about COCA, E. on Web of Science, POPA, V. See more information about POPA, V. on SCOPUS See more information about POPA, V. on SCOPUS See more information about POPA, V. 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 (694 KB) | Citation | Downloads: 482 | Views: 2,402

Author keywords
wireless sensor node, radiation pattern, positioning accuracy, error correction, received signal strength indicator

References keywords
networks(11), sensor(9), localization(6), rssi(5), antenna(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 43 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02007
Web of Science Accession Number: 000322179400007
SCOPUS ID: 84878940684

Abstract
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Localization or position determination is one of the most common applications for the wireless sensor networks. Many investigations have been made during the last decade, most of the effort being concentrated in the direction of improving the accuracy of the positioning results by using complex filtering and correction algorithms, and other techniques such as radio maps or directive antennas for the reference nodes. The most common sources of errors include reflections on nearby objects, radio frequency noise, and variable characteristics of the communication channel. In the vast majority of cases, several assumptions have been made in order to simplify the computing algorithms or the complexity of nodes, and finally their cost. The omnidirectional radiation pattern of the node antennas is such an assumption. In this paper we investigate theoretically and validate by measurements the influence of the radiation pattern on the localization accuracy of a wireless sensor node network. By taking into consideration the orientation of nodes, which could be provided by a local digital compass on each node, we demonstrate that the position accuracy could be improved with a minimum of resources. All measurements were made in radio emissions controlled environment - a semi-anechoic chamber, without affecting the generality of the proposed solution.


References | Cited By

Cited-By ISI Web of Science

Web of Science® Times Cited: 2 [View]
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Cited-By CrossRef

SCOPUS® Times Cited: 4
View record in SCOPUS®
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Cited-By CrossRef

[1] The implementation of indoor localization based on an experimental study of RSSI using a wireless sensor network, El Amine, Cheriet Mohammed, Mohamed, Ouslim, Boualam, Belaidi, Peer-to-Peer Networking and Applications, ISSN 1936-6442, Issue 4, Volume 9, 2016.
Digital Object Identifier: 10.1007/s12083-015-0372-9
[CrossRef]

[2] XpertTrack: Precision Autonomous Measuring Device Developed for Real Time Shipments Tracker, Viman, Liviu, Daraban, Mihai, Fizesan, Raul, Iuonas, Mircea, Sensors, ISSN 1424-8220, Issue 3, Volume 16, 2016.
Digital Object Identifier: 10.3390/s16030355
[CrossRef]

[3] Improving energy efficiency in building system using a novel people localization system, D'Aloia, Matteo, Cortone, Fabrizio, Cice, Gianpaolo, Russo, Ruggero, Rizzi, Maria, Longo, Annalisa, 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), ISBN 978-1-5090-2370-7, 2016.
Digital Object Identifier: 10.1109/EESMS.2016.7504811
[CrossRef]

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Copyright ©2001-2019
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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