|3/2011 - 2|
An Optimal Spectrum Handoff Scheme for Cognitive Radio Mobile Ad Hoc NetworksDUAN, J. , LI, Y.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (783 KB) | Citation | Downloads: 1,171 | Views: 4,444|
cognitive radio, mobile ad hoc networks, radio spectrum management, wireless networks, wireless communication
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
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|
| S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE JSAC., vol. 23, pp. 201-220, Feb. 2005. |
[CrossRef] [Web of Science Times Cited 6214] [SCOPUS Times Cited 8471]
 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 864]
 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 2804] [SCOPUS Times Cited 4229]
 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 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 277] [SCOPUS Times Cited 362]
 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 113]
 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 9] [SCOPUS Times Cited 26]
 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 400] [SCOPUS Times Cited 605]
 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 114]
 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 35] [SCOPUS Times Cited 77]
 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 42]
 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 96] [SCOPUS Times Cited 120]
 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 399] [SCOPUS Times Cited 585]
 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.
 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 491] [SCOPUS Times Cited 667]
 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 508]
 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 66] [SCOPUS Times Cited 88]
Web of Science® Citations for all references: 10,796 TCR
SCOPUS® Citations for all references: 16,871 TCR
Web of Science® Average Citations per reference: 635 ACR
SCOPUS® Average Citations per reference: 992 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 2018-06-22 20:13 in 120 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.