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摘要
In this paper, we study topology control and routing issues in mobile cognitive radio networks and propose local cognitive topology control algorithm (LCTCA) to provide the optimal network topology for routing. LCTCA combines link availability with link power consumption to form a multiobjective metric of network topology and routing optimization. The link availability prediction is aware of the interference from secondary users to primary users, the spectrum utilization of primary users, the mobility of secondary users and primary users. Based on the link availability and the power consumption, LCTCA captures the dynamic changes of the topology and constructs a reliable topology under the conditions of network connectivity, which is aimed at selecting the optimal network path and mitigating frequently rerouting. We further analyze the effect of power consumption and link stability on cognitive radio network path selection. Simulation investigation is also provided to verify the theoretical analysis. It shows that the link power consumption and the link stability are both important when selecting the network path.
