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

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


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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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  2/2011 - 1
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Queueing Theory-based Path Delay Analysis of Wireless Sensor Networks

QIU, T. See more information about QIU, T. on SCOPUS See more information about QIU, T. on IEEExplore See more information about QIU, T. on Web of Science, XIA, F. See more information about  XIA, F. on SCOPUS See more information about  XIA, F. on SCOPUS See more information about XIA, F. on Web of Science, FENG, L. See more information about  FENG, L. on SCOPUS See more information about  FENG, L. on SCOPUS See more information about FENG, L. on Web of Science, WU, G. See more information about  WU, G. on SCOPUS See more information about  WU, G. on SCOPUS See more information about WU, G. on Web of Science, JIN, B. See more information about JIN, B. on SCOPUS See more information about JIN, B. on SCOPUS See more information about JIN, B. on Web of Science
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Author keywords
wireless sensor networks, queueing networks, modeling, path planning, delay analysis

References keywords
networks(15), sensor(14), network(11), queueing(7), communications(6), theory(5), performance(4), modeling(4), energy(4), delay(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): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02001
Web of Science Accession Number: 000293840500001
SCOPUS ID: 79958773857

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Path planning is one of the important factors that affect data transmission and processing in wireless sensor networks (WSNs). This paper addresses this issue by means of the paths delay analysis. Considering that WSNs are used for temperature monitoring, we model the WSNs using the open queueing network theory and analyze the paths delay based on the model. An iterative approximation algorithm is proposed for the qualitative analysis of the packet arrival rate of sensor nodes. According to the capacity and redundancy of nodes along the path, the destination node search trees are created for pre-selecting the transmission paths. Then the end-to-end delays of the pre-selected node paths and the average delay of sub-queueing networks are calculated. The optimal path and the assistant path for data transmission in WSNs could be obtained on the basis of the delay analysis. Numerical results demonstrate the effectiveness of the proposed approach.

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

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References Weight

Web of Science® Citations for all references: 8,878 TCR
SCOPUS® Citations for all references: 14,244 TCR

Web of Science® Average Citations per reference: 306 ACR
SCOPUS® Average Citations per reference: 491 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 2019-05-20 01:39 in 149 seconds.

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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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