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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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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
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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.

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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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  4/2013 - 1
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Rich: Region-based Intelligent Cluster-Head Selection and Node Deployment Strategy in Concentric-based WSNs

FAN, C.-S. See more information about FAN, C.-S. on SCOPUS See more information about FAN, C.-S. on IEEExplore See more information about FAN, C.-S. 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 (765 KB) | Citation | Downloads: 1,026 | Views: 2,240

Author keywords
clustering methods, energy consumption, wireless sensor networks, energy efficiency, routing protocols

References keywords
sensor(25), networks(23), deployment(8), lifetime(4), information(4), energy(4), communications(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04001
Web of Science Accession Number: 000331461300001
SCOPUS ID: 84890143555

Abstract
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In a random deployment, sensor nodes are scattered randomly in the sensing field. Hence, the coverage can not be guaranteed. In contrast, the coverage of uniformly deployment is in general larger than the random deployment. However, uniformly deployment strategy may cause unbalanced traffic pattern in wireless sensor networks (WSNs). In this situation, larger load may be imposed to CHs (cluster heads) around the sink. Therefore, CHs close to the sink use up their energy earlier than those farther away from the sink. To overcome this problem, we propose a novel node deployment strategy in the concentric model, namely, Region-based Intelligent Cluster-Head selection and node deployment strategy (called Rich). The coverage, energy consumption and data routing issues are well investigated and taken into consideration in the proposed Rich scheme. The simulation results show that the proposed Rich alleviates the unbalanced traffic pattern significantly, prolongs network lifetime and achieves satisfactory coverage ratio.


References | Cited By

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] CDS-Fuzzy Opportunistic Routing Protocol for Wireless Sensor Networks, Golden Julie, E., Tamilselvi, S., Wireless Personal Communications, ISSN 0929-6212, Issue 2, Volume 90, 2016.
Digital Object Identifier: 10.1007/s11277-016-3250-8
[CrossRef]

[2] MAC Protocol for Data Gathering in Wireless Sensor Networks with the Aid of Unmanned Aerial Vehicles, VLADUTA, A.-V., PURA, M. L., BICA, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.02007
[CrossRef] [Full text]

[3] Energy Aware Clustering Scheme in Wireless Sensor Network Using Neuro-Fuzzy Approach, Harold Robinson, Y., Golden Julie, E., Balaji, S., Ayyasamy, A., Wireless Personal Communications, ISSN 0929-6212, Issue 2, Volume 95, 2017.
Digital Object Identifier: 10.1007/s11277-016-3793-8
[CrossRef]

[4] Development of Fuzzy based Energy Efficient Cluster Routing Protocol to Increase the Lifetime of Wireless Sensor Networks, Balaji, S., Golden Julie, E., Harold Robinson, Y., Mobile Networks and Applications, ISSN 1383-469X, 2017.
Digital Object Identifier: 10.1007/s11036-017-0913-y
[CrossRef]

[5] Cluster head selection for energy efficient and delay-less routing in wireless sensor network, Sarkar, Amit, Senthil Murugan, T., Wireless Networks, ISSN 1022-0038, 2017.
Digital Object Identifier: 10.1007/s11276-017-1558-2
[CrossRef]

[6] Dynamic Cluster Head Selection Method for Wireless Sensor Network, Jia, Dongyao, Zhu, Huaihua, Zou, Shengxiong, Hu, Po, IEEE Sensors Journal, ISSN 1530-437X, Issue 8, Volume 16, 2016.
Digital Object Identifier: 10.1109/JSEN.2015.2512322
[CrossRef]

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


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