Skip to Main Content
A novel topology control approach for cognitive wireless networks is proposed in this paper. It includes sensing, decision-making and acting process. Sensing process is to collect necessary local information which will be used in the decision-making stage. Decision-making process uses game theory to decide the best moving positions of nodes. A local utility function is designed for each node in this stage. It takes conditions of radio irregularity and radio regularity into account. Each node makes decision distributed and selfishly. The Nash Equilibrium in game theory is also discussed. Acting process is to construct a new topology. Our approach aims at increasing the coverage area of all nodes and keeping the whole network connected at the same time. In order to verify our approach, two groups of experiments based on radio regularity and radio irregularity are designed. In each experiment, there are two scenarios based on different node numbers. What is more, the convergence of our approach is described. Experiment results show that the proposed method is effective, reliable and stable.