IRJET - Network Selection and Spectrum Handoff based on Adaptive Weights in Cognitive Wireless Networks

This document discusses network selection and spectrum handoff in cognitive wireless networks using adaptive weights. It proposes using a particle swarm optimization technique to minimize handoff delay and increase throughput. The technique allows secondary users to utilize unused licensed spectrum. Simulation results show the proposed PSO-based algorithm, called PHSCR, performs better than other methods in terms of handoff delay and throughput. The document also discusses using multiple attribute decision making methods like the grey relational analysis method to help cognitive radios select the optimal network for spectral handoff.