@article{(Open Science Index):https://publications.waset.org/pdf/10002921,
	  title     = {Hybrid Algorithm for Frequency Channel Selection in Wi-Fi Networks},
	  author    = {Cesar Hernández and  Diego Giral and  Ingrid Páez},
	  country	= {},
	  institution	= {},
	  abstract     = {This article proposes a hybrid algorithm for spectrum
allocation in cognitive radio networks based on the algorithms
Analytical Hierarchical Process (AHP) and Technique for Order of
Preference by Similarity to Ideal Solution (TOPSIS) to improve the
performance of the spectrum mobility of secondary users in cognitive
radio networks. To calculate the level of performance of the proposed algorithm a
comparative analysis between the proposed AHP-TOPSIS, Grey
Relational Analysis (GRA) and Multiplicative Exponent Weighting
(MEW) algorithm is performed. Four evaluation metrics are used.
These metrics are accumulative average of failed handoffs,
accumulative average of handoffs performed, accumulative average
of transmission bandwidth, and accumulative average of the
transmission delay. The results of the comparison show that AHP-TOPSIS Algorithm
provides 2.4 times better performance compared to a GRA Algorithm
and, 1.5 times better than the MEW Algorithm.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {9},
	  number    = {12},
	  year      = {2015},
	  pages     = {1381 - 1384},
	  ee        = {https://publications.waset.org/pdf/10002921},
	  url   	= {https://publications.waset.org/vol/108},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 108, 2015},
	}