Immune Parallel Artificial Bee Colony Algorithm For Spectrum Allocation In Cognitive Radio Sensor Networks

With the rapid development of technology, the continuous progress of communication technology has brought a very serious problem - the shortage of spectrum resources. A large part of the factors that cause the shortage of spectrum resources are related to the original spectrum allocation method. In order to further optimize the benefit of wireless spectrum and network efficiency, this paper proposes an immune parallel artificial bee colony algorithm (IPABCA) to optimize the spectrum allocation efficiency, and uses the classical graph coloring method to calculate the benefit and prove the superiority of group intelligent algorithm in solving the spectrum allocation problem. It can be seen from the simulation results that IPABCA is superior to the original ant colony optimization and particle swarm optimization in terms of total network benefit.