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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
Avg review time: 97 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: 644266260
doi: 10.4316/AECE


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LATEST NEWS

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

2015-Dec-04
Starting with Issue 2/2016, the article processing charge is 300 EUR for each article accepted for publication. The charge of 25 EUR per page for papers over 8 pages will not be changed. Details are available in the For authors section.

2015-Jun-10
Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

2015-Feb-09
Starting on the 9th of February 2015, we require all authors to identify themselves, when a submission is made, by entering their SCOPUS Author IDs, instead of the organizations, when available. This information will let us better know the publishing history of the authors and better assign the reviewers on different topics.

2015-Feb-08
We have more than 500 author names on the ban-list for cheating, including plagiarism, false signatures on the copyright form, false E-mail addresses and even tentative to impersonate well-known researchers in order to become a reviewer of our Journal. We maintain a full history of such incidents.

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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: 1,101 | Views: 3,597

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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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 5029] [SCOPUS Times Cited 7382]


[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 705]


[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 2207] [SCOPUS Times Cited 3607]


[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 218] [SCOPUS Times Cited 316]


[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 74]


[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 3]


[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 338] [SCOPUS Times Cited 539]


[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 93]


[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 19] [SCOPUS Times Cited 34]


[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 23]


[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 72] [SCOPUS Times Cited 94]


[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 327] [SCOPUS Times Cited 515]


[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 417] [SCOPUS Times Cited 586]


[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 352]


[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 56] [SCOPUS Times Cited 84]


References Weight

Web of Science® Citations for all references: 8,692 TCR
SCOPUS® Citations for all references: 14,407 TCR

Web of Science® Average Citations per reference: 511 ACR
SCOPUS® Average Citations per reference: 847 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 2016-12-06 05:23 in 86 seconds.




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


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