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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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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
 
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Download PDF pdficon (783 KB) | Citation | Downloads: 1,629 | Views: 6,893

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

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 17 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 24
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Cited-By CrossRef

[1] Intelligent Selective Spectrum Access in Cognitive Radio Networks, Jasrina, J., Yusof, Sharifah K.S., Izhar, M.A.M., Journal of Artificial Intelligence, ISSN 1994-5450, Issue 4, Volume 9, 2016.
Digital Object Identifier: 10.3923/jai.2016.65.71
[CrossRef]

[2] Performance Evaluation of Spectrum Detection in Cognitive Radio Network, Mahamuni, Shubhangi, Mishra, Vivekanand, International Journal of Communications, Network and System Sciences, ISSN 1913-3715, Issue 11, Volume 07, 2014.
Digital Object Identifier: 10.4236/ijcns.2014.711049
[CrossRef]

[3] Fuzzy Based PC-PUSH in CR-MANETs, Nejatian, S., Syed Yusof, S. K., Abdul Lattif, N. M., Rezaie, V., Asadpour, V., Mathematical Problems in Engineering, ISSN 1024-123X, Issue , 2014.
Digital Object Identifier: 10.1155/2014/926709
[CrossRef]

[4] Spectrum handoff in cognitive radio networks: A classification and comprehensive survey, Kumar, Krishan, Prakash, Arun, Tripathi, Rajeev, Journal of Network and Computer Applications, ISSN 1084-8045, Issue , 2016.
Digital Object Identifier: 10.1016/j.jnca.2015.10.008
[CrossRef]

[5] Proactive integrated handoff management in cognitive radio mobile ad hoc networks, Nejatian, Samad, Syed-Yusof, Sharifah Kamilah, Latiff, Nurul Mu'azzah Abdul, Asadpour, Vahid, Hosseini, Haleh, EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1499, Issue 1, Volume 2013, 2013.
Digital Object Identifier: 10.1186/1687-1499-2013-224
[CrossRef]

[6] Integrated handoff management in cognitive radio mobile ad hoc networks, Nejatian, S., Syed-Yusof, S. K., Latiff, N. M. Abdul, Asadpour, V., 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), ISBN 978-1-4673-6235-1, 2013.
Digital Object Identifier: 10.1109/PIMRC.2013.6666640
[CrossRef]

[7] An analytical model for handoff management and routing in CR-ad hoc networks, Nejatian, S., Syed-Yusof, S. K., AbdulLatiff, N., Maqbool, W., Asadpour, V., 2013 IEEE 11th Malaysia International Conference on Communications (MICC), ISBN 978-1-4799-1532-3, 2013.
Digital Object Identifier: 10.1109/MICC.2013.6805852
[CrossRef]

[8] Detection of spectrum in cognitive radio network for efficient spectrum handoff mechanism, Mahamuni, Shubhangi M., Mishra, Vivekanand, Fernandes, Rohan, 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking, ISBN 978-1-4799-6986-9, 2014.
Digital Object Identifier: 10.1109/ET2ECN.2014.7044955
[CrossRef]

[9] PUSH: Proactive Unified Spectrum Handoff in CR-MANETs, Nejatian, S., Syed-Yusof, S.K., Latiff, N.M. Abdul, Asadpour, V., 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, ISBN 978-1-4799-3630-4, 2014.
Digital Object Identifier: 10.1109/AINA.2014.11
[CrossRef]

[10] Spectrum handoff algorithm for mobile cognitive radio users based on agents' negotiation, Trigui, Emna, Esseghir, Moez, Boulahia, Leila Merghem, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), ISBN 978-1-4799-0428-0, 2013.
Digital Object Identifier: 10.1109/WiMOB.2013.6673440
[CrossRef]

[11] Transmit precoding based on outdated interference alignment for two users multi cell MIMO system, Aziz, D., Weber, A., 2013 International Conference on Computing, Networking and Communications (ICNC), ISBN 978-1-4673-5288-8, 2013.
Digital Object Identifier: 10.1109/ICCNC.2013.6504174
[CrossRef]

[12] A priority-aware channel selection scheme for real-time data transmission in cognitive radio networks, Motamedi, N., Kumar, S., Fei Hu, , Rowe, N., 2013 International Conference on Computing, Networking and Communications (ICNC), ISBN 978-1-4673-5288-8, 2013.
Digital Object Identifier: 10.1109/ICCNC.2013.6504179
[CrossRef]

[13] Study of spectrum sensing and handoff in Wi-Fi network for long range applications, Babjan, Patan, Rajendran, V., INTELLIGENT SYSTEMS: A STEP TOWARDS SMARTER ELECTRICAL, ELECTRONIC AND MECHANICAL ENGINEERING: Proceedings of 2nd International Conference on Industrial Electronics, Mechatronics, Electrical and Mechanical Power (IEMPOWER), 2021., ISBN , Issue , 2022.
Digital Object Identifier: 10.1063/5.0117765
[CrossRef]

[14] MARIO: A Cognitive Radio Primary User Arrivals Data Generator, Cristo, Rogers S., Santana, Guilherme M.D., Osorio, Diana P.M., Branco, Kalinka R.L.J.C., 2018 IEEE Symposium on Computers and Communications (ISCC), ISBN 978-1-5386-6950-1, 2018.
Digital Object Identifier: 10.1109/ISCC.2018.8538660
[CrossRef]

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