Jamming Strategy Optimization for Dual-Channel ALOHA Network with Long Time Delay

The dual-channel ALOHA network with long time delay consisting of many cognitive radio terminals has particular dynamic characteristics. Its total throughput changes with the channel selection of terminals, because two channels have different attraction probabilities under the condition that the total packet arrival rate remains constant. We establish a group of differential equations for each channel’s network-adjusted arrival rate, and obtain the function relationship of total throughput with the total arrival rate. The influence of the different allocation ratio about jamming resources on each channel is analyzed under the condition that the jamming resources are kept constant. The optimal allocation ratio of jamming resources is obtained, and the total throughput is minimized for this network. The above theoretic analysis is verified by simulations. It not only puts forward a new way for effective jamming on dual-channel ALOHA network with long time delay, but also provides an important reference for the dynamic characteristics research for such networks.