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JCR Impact Factor: 0.595
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Issues per year: 4
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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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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
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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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  2/2011 - 2

Wireless Meter Reading Based Energy-Balanced Steady Clustering Routing Algorithm for Sensor Networks

TIAN, Y. See more information about TIAN, Y. on SCOPUS See more information about TIAN, Y. on IEEExplore See more information about TIAN, Y. on Web of Science, TANG, Z. See more information about TANG, Z. on SCOPUS See more information about TANG, Z. on SCOPUS See more information about TANG, Z. 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 (737 KB) | Citation | Downloads: 2,263 | Views: 3,684

Author keywords
energy-balanced, energy-distance function, steady clustering, wireless sensor networks

References keywords
networks(18), sensor(15), energy(8), distributed(8), data(7), computing(5), parallel(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 9 - 14
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02002
Web of Science Accession Number: 000293840500002
SCOPUS ID: 79958824204

Abstract
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According to the characteristics of wireless meter reading system, an energy-balanced and energy-efficient steady clustering routing algorithm (EBSC, Energy-Balanced Steady Clustering) is proposed. In the clustering mechanism, the current cluster head nodes determine cluster head nodes for next round according to the residual energy of the cluster members. In the next round, each non-cluster head node decides the cluster to which it will belong according to energy-distance function. The cluster head nodes send data to base station by the communication model of single hop and multi-hop that is decided according to the criterion of minimum energy consumption. In EBSC algorithm, the number of cluster head nodes generated in each round is very steady, and EBSC combines the advantage both distributed and centralized clustering algorithm. Experimental results show that the proposed routing algorithm not only efficiently uses limited energy of network nodes, but also well balances energy consumption of all nodes, and significantly prolongs network lifetime.


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: 6
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Cited-By CrossRef

[1] A Real-Time Big Data Gathering Algorithm Based on Indoor Wireless Sensor Networks for Risk Analysis of Industrial Operations, Ding, Xuejun, Tian, Yong, Yu, Yan, IEEE Transactions on Industrial Informatics, ISSN 1551-3203, Issue 3, Volume 12, 2016.
Digital Object Identifier: 10.1109/TII.2015.2436337
[CrossRef]

[2] Third-Order Channel Propagation Model-Based Indoor Adaptive Localization Algorithm for Wireless Sensor Networks, Tian, Yong, Tang, Zhenan, Yu, Yan, IEEE Antennas and Wireless Propagation Letters, ISSN 1536-1225, Issue , 2013.
Digital Object Identifier: 10.1109/LAWP.2013.2293578
[CrossRef]

[3] Wireless sensor location systems comparative performances evaluation, Coca, Eugen, Popa, Valentin, 2012 IEEE 18th International Symposium for Design and Technology in Electronic Packaging (SIITME), ISBN 978-1-4673-4760-0, 2012.
Digital Object Identifier: 10.1109/SIITME.2012.6384398
[CrossRef]

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


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