Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31181
MCDM Spectrum Handover Models for Cognitive Wireless Networks

Authors: Cesar Hernández, Diego Giral, Fernando Santa


Spectrum handover is a significant topic in the cognitive radio networks to assure an efficient data transmission in the cognitive radio user’s communications. This paper proposes a comparison between three spectrum handover models: VIKOR, SAW and MEW. Four evaluation metrics are used. These metrics are, accumulative average of failed handover, accumulative average of handover performed, accumulative average of transmission bandwidth and, accumulative average of the transmission delay. As a difference with related work, the performance of the three spectrum handover models was validated with captured data of spectrum occupancy in experiments performed at the GSM frequency band (824 MHz - 849 MHz). These data represent the actual behavior of the licensed users for this wireless frequency band. The results of the comparison show that VIKOR Algorithm provides a 15.8% performance improvement compared to SAW Algorithm and, it is 12.1% better than the MEW Algorithm.

Keywords: Decision Making, cognitive radio, SAW, MEW, VIKOR, spectrum handover

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1749


[1] I. F. Akyildiz, Won-Yeol Lee, Vuran Mehmet C, Mohanty S, A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine vol. 46, no. 4, 40-48, 2008.
[2] N Hoven, R Tandra, A Sahai, Some fundamental limits on cognitive radio. Paper presented in the IEEE Conference on Communication, Control and Computing, Monticello, 29-1, Oct. 2004.
[3] I. F. Akyildiz; Won-Yeol Lee; Vuran, Mehmet C.; Mohanty, S., “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Journal Computer Networks, vol. 50, no. 13, pp. 2127-2159, September 2006.
[4] I. F. Akyildiz; Won-Yeol Lee; K. R. Chowdhury, “CRAHNs: cognitive radio ad hoc networks,” Ad Hoc Networks, vol. 7, no. 5, pp. 810–836, July 2009.
[5] M. C. Tsai, Multi-attributes handover decision mechanism across Wi-Fi & WiMAX using MIH services, a Master’s Degree Thesis, National Central University, 2007.
[6] E. Stevens-Navarro, Y. Lin, V.W.S. Wong, An MDP-based vertical handover decision algorithm for heterogeneous wireless networks, IEEE Trans. Veh. Technol., vol. 57, pp. 1243–1254, 2008.
[7] L. Mohamed, C. Leghris, A. Adib, A hybrid approach for network selection in heterogeneous multi-access environments, in: New Technologies, Mobility and Security (NTMS), 2011 4th IFIP International Conference, February 2011, pp. 1–5.
[8] S. Yang, J. Wu, An IEEE 802.21 Handover decision with QoS provision across WLAN and WMAN, in: International Conference on Communications Circuits and Systems, Xiamen, China, May 2008, pp. 548–552.
[9] J. A. Zapata Cortés; M. D. Arango Serna and W. Adarme Jaimes, “Applying fuzzy extended analytical hierarchy (FEAHP) for selecting logistics software”, Ingeniería e Investigación, vol. 32, no. 1, pp. 94-99, April 2012.
[10] Shin-Jer Yang, Wen-Chieh Tseng, Design novel weighted rating of multiple attributes scheme to enhance handover efficiency in heterogeneous wireless networks, Computer Communications, vol. 36, no. 14, pp. 1498-1514, August 2013.
[11] Zhang, W., Handover Decision Using Fuzzy MADM in Heterogeneous Networks, IEEE Wireless Communications and Networking Conference, 2004, pp. 653-658, Atlanta, USA.
[12] Stevens-Navarro, E. & Wong, V., Comparison between Vertical Handover Decision Algorithms for Heterogeneous Wireless Networks, IEEE Vehicular Technology Conference – Spring, 2006, pp. 947-951, Melbourne, Australia.
[13] Song, Q. & Jamalipour, A., A Network Selection Mechanism for Next Generation Networks, IEEE International Communications Conference, 2005, pp. 1418-1422, Seoul, Korea.
[14] Bari, F. & Leung, V., Application of ELECTRE to Network Selection in a Heterogeneous Wireless Network Environment, IEEE Wireless Communications and Networking Conference, 2008, pp. 3810-3815, Las Vegas, USA.
[15] Wang, Y., Yuan J., Zhou Y., Li G., & Zhang P., Vertical Handover Decision in an Enhanced Media Independent Handover Framework, IEEE Wireless Communications and Networking Conference, 2008, pp. 2693-2698, Las Vegas, USA.
[16] Stevens-Navarro, E., Gallardo-Medina, R., Pineda-Rico, U., & Acosta- Elias, J., Application of MADM Method VIKOR Method for Vertical Handover Heterogeneous Wireless Networks, IEICE Transactions on Communications, Vol. 95-B, no. 2, pp. 599-602, February 2012.
[17] Cesar Hernandez, C. Salgado, H. López, E. Rodriguez-Colina, “Multivariable algorithm for dynamic channel selection in cognitive radio networks, Eurasip Journal on Wireless Communications and Networking”, vol. 2015, no. 1, pp. 1-17, December 2015.
[18] Cesar Hernandez, Ingrid Paez, Diego Giral, “Modelo AHP-VIKOR para handover espectral en redes de radio cognitiva”, Tecnura, vol. 19, no. 45, pp. 29-40, julio 2015.
[19] Carlos Ramirez-Perez and Victor-M. Ramos-R., "On the effectiveness of multi-criteria decision mechanisms for vertical Handover," in International Conference on Advanced Information Networking and Applications, Mexico, 2013.
[20] H. A.Vine1, "Comparison between MADM algorithms for vertical handover decision," Departmet of Computer Science University of Wah, Wah, 2010.
[21] J. D. Martinez-Morales E. Stevens-Navarro and U. Pineda-Rico, "Evaluation of Vertical Handover Decision Algorithms Based on MADM Methods for Heterogeneous Wireless Networks," Journal of Applied Research and Technology, vol. 10, pp. 534-538, August 2012.