MCDM Spectrum Handover Models for Cognitive Wireless Networks
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:71239", author = "Cesar Hernández and Diego Giral and Fernando Santa", title = "MCDM Spectrum Handover Models for Cognitive Wireless Networks", abstract = "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 = "Cognitive radio, decision making, MEW, SAW,
spectrum handover, VIKOR.", volume = "9", number = "10", pages = "1179-4", }
