Consensus Performance of Traffic Management System for Cognitive Radio Network: An Agent Control Approach

The Spectrum sharing is an important topic in Cognitive Radio Sensor Networks (CRSNs). Bio-inspired consensus-based schemes can provide lightweight and efficient solutions to ensure spectrum sharing fairness in CRSNs. This paper studies the consensus performance of traffic management system in Cognitive Radio Networks (CRNs). Research focused on significant topics of spectrum management in scalable CR ad hoc networks such as mobility, sharing, and allocation driven by local control. First of all, CRN is analyzed and is considered as a network of multiagent systems with a directed graph. Secondly, this multiagent problem is transformed into the multi-input and multi-output model of cognitive radio users in the frequency domain. Thirdly, the consensus condition of CR users is proposed based on their information sharing in the network. Moreover, the communication delay is also considered and a delay margin criterion is derived to guarantee the performance of information sharing for CR users. From simulation results, the use of proposed schemes shows low complexity and effectiveness for spectrum sharing processes in randomly deployed CRSNs also shows the effectiveness of the proposed method.