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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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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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  3/2011 - 2

An Optimal Spectrum Handoff Scheme for Cognitive Radio Mobile Ad Hoc Networks

DUAN, J. See more information about DUAN, J. on SCOPUS See more information about DUAN, J. on IEEExplore See more information about DUAN, J. on Web of Science, LI, Y. See more information about LI, Y. on SCOPUS See more information about LI, Y. on SCOPUS See more information about LI, Y. 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 (783 KB) | Citation | Downloads: 1,131 | Views: 3,846

Author keywords
cognitive radio, mobile ad hoc networks, radio spectrum management, wireless networks, wireless communication

References keywords
cognitive(15), radio(14), networks(14), spectrum(10), dyspan(6), sensing(5), mobile(4), akyildiz(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 11 - 16
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03002
Web of Science Accession Number: 000296186700002
SCOPUS ID: 80055088375

Abstract
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Full text preview
Spectrum handoff procedures occur when the primary users appear in the licensed band temporary occupied by the cognitive radio (CR) users and aim to help the CR users to vacate the spectrum rapidly and find available channel to resume the transmission. However, a spectrum handoff scheme that comprehensively considers channel selection, handoff decision as well as space domain handoff is yet undeveloped. In this paper we present a complete optimal spectrum handoff scheme for cognitive radio mobile ad hoc networks. First, we design a spectrum selection mechanism to allow CR users optimally choose the appropriate channel. The spectrum idleness prediction algorithm is utilized based on developing a cooperative spectrum searching approach. Through combining the estimated transmission time, the PU appearance probability and the mean spectrum availability time are integrated to develop the optimal spectrum handoff scheme. Moreover, as one part of the proposed scheme, a geo-location approach is utilized to deal with the space domain handoff. The complete scheme is evaluated through a comprehensive simulation study, and results reveal significant improvements in handoff times and transmission efficiency over conventional approaches.


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

[1] S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE JSAC., vol. 23, pp. 201-220, Feb. 2005.
[CrossRef] [Web of Science Times Cited 5507] [SCOPUS Times Cited 7788]


[2] I.F. Akyildiz, W.Y. Lee, and K.R. Chowdhury, "CRAHNs: cognitive radio ad hoc networks," Ad Hoc Networks, vol. 7, pp. 810-836, July 2009.
[CrossRef] [SCOPUS Times Cited 766]


[3] I.F. Akyildiz, W.Y. Lee, M.C. Vuran, S. Mohanty, "NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey," Elsevier Computer Networks, vol. 50, pp. 2127-2159, 2006.
[CrossRef] [Web of Science Times Cited 2461] [SCOPUS Times Cited 3812]


[4] Yi Song and Jiang Xie, "On the Spectrum Handoff for Cognitive Radio Ad Hoc Networks without Common Control Channel," Cognitive Radio Mobile Ad Hoc Networks, Springer, July 2011.
[CrossRef] [Web of Science Times Cited 3]


[5] J. Ma, G. Y. Li, and B. H. Juang, "Signal processing in cognitive radio," Proc. IEEE, vol. 97, no. 5, pp. 805-823, May 2009.
[CrossRef] [Web of Science Times Cited 247] [SCOPUS Times Cited 330]


[6] D. Willkomm, J. Gross, and A. Wolisz, "Reliable link maintenance in cognitive radio systems," Proc. IEEE DySPAN 2005, Baltimore, Nov. 2005, pp. 371-378.
[CrossRef] [SCOPUS Times Cited 110]


[7] X. Liu and Z. Ding, "ESCAPE: a channel evacuation protocol for spectrum-agile networks," Proc. IEEE DySPAN 2007, Dublin, Apr. 2007, pp. 292-302.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


[8] H. Kim and K. G. Shin, "Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks," IEEE Trans. on Mobile Computing, vol. 7, no. 5, pp. 533-545, May 2008.
[CrossRef] [Web of Science Times Cited 361] [SCOPUS Times Cited 570]


[9] L. Yang, L. Cao and H. Zheng, "Proactive channel access in dynamic spectrum networks," Elsevier Physical Comm., vol. 1, pp. 103-111, June 2008.
[CrossRef] [SCOPUS Times Cited 100]


[10] L. Wang and C. Wang, "Spectrum handoff for cognitive radio networks: reactive-sensing or proactive-sensing," Proc. IEEE IPCCC 2008, Austin, Dec. 2008, pp. 343-348.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 66]


[11] L. Wang and A. Chen, "On the performance of spectrum handoff for link maintenance in cognitive radio," Proc. ISWPC 2008, Santorini, May 2008, pp. 670-674.
[CrossRef] [SCOPUS Times Cited 38]


[12] W.Y. Lee and I.F. Akyildiz, "A spectrum decision framework for cognitive radio networks," IEEE Trans. on Mobile Computing, vol. 10, no. 2, pp. 161-174, Feb. 2011.
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 106]


[13] W.Y. Lee and I.F. Akyildiz, "Optimal spectrum sensing framework for cognitive radio networks," IEEE Trans. on Wireless Comm., vol. 7, no. 10, pp. 3845-3857, Oct. 2008.
[CrossRef] [Web of Science Times Cited 355] [SCOPUS Times Cited 542]


[14] G. Ning, K.R. Chowdhury, J. Duan, P. Nintanavongsa, "Licensed user activity estimation in mobile cognitive radio ad hoc networks," submitted to IEEE GlobeCom 2011.

[15] G. Ganesan and Y. (G.) Li, "Cooperative spectrum sensing in cognitive radio-part II: Multiuser networks," IEEE Trans. on Wireless Comm., vol. 6, no. 6, pp. 2214-2222, June 2007.
[CrossRef] [Web of Science Times Cited 449] [SCOPUS Times Cited 606]


[16] C. Cordeiro et. al., "IEEE 802.22: the first worldwide wireless standard based on cognitive radios," Proc. IEEE DySPAN 2005, Baltimore, Nov. 2005, pp. 328-337.
[CrossRef] [SCOPUS Times Cited 479]


[17] M.R. Chari et. al., "FLO Physical Layer: An Overview," IEEE Trans. Broadcasting, vol. 53, no. 1, pp. 145-159, Mar. 2007.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 86]


References Weight

Web of Science® Citations for all references: 9,555 TCR
SCOPUS® Citations for all references: 15,407 TCR

Web of Science® Average Citations per reference: 562 ACR
SCOPUS® Average Citations per reference: 906 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 2017-06-26 18:52 in 116 seconds.




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


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