White space optimization using memory enabled genetic algorithm in vehicular cognitive radio

Recently cognitive radio based approaches have been introduced in inter-vehicle communication (IVC) system due to inherent advantages. Spectrum mobility is very frequent in IVC due to the mobility of vehicles and unpredictable radio frequency (RF) channel. This requires an efficient white space optimization technique to ensure spectrum management function. In this paper, a modified genetic algorithm, by introducing memory concept, is employed to obtain the most suitable white space against the quality of service (QoS) requested by vehicles. Simulation results demonstrate that the proposed approach is more efficient in finding white spaces.