Research on Spectrum Allocation Based on the Network Weights of Internet of Things

To solve the shortage defects of wireless spectrum source of Internet of things, an idle spectrum resources and immune sorting selection method based on the subjective and objective weight is proposed by using cognitive radio network technology. Firstly, the radio cognitive idle spectrum system is relied on to make the spectrum system modeling of Internet of things for the generation of objective and subjective weight perception, graph coloring of allocation of Internet of things and rectangular arrays; Then, the immune weight solving process is optimized and the weight setting rationality is improved; And idle spectrum performance of the spectrum resources is analyzed again, and it has the stability; Lastly, MATLAB is used to make simulation experiment. The result shows: the algorithm can not only make effective allocation to spectrum resources, greatly improving the spectrum utilization, but also meet radio transmission demand of Internet of things with high network throughput capacity and improve the transmission rate of Internet node with the stability.