Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
A survey on MAC protocols for cognitive radio networks
Ad Hoc Networks
Modeling and analysis of opportunistic spectrum sharing with unreliable spectrum sensing
IEEE Transactions on Wireless Communications
Tuning radio resource in an overlay cognitive radio network for TCP: greed isn't good
IEEE Communications Magazine
Cognitive radio sensor networks
IEEE Network: The Magazine of Global Internetworking - Special issue title on networking over multi-hop cognitive networks
Effect of dynamic spectrum access on transport control protocol performance
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Routing in cognitive radio networks: Challenges and solutions
Ad Hoc Networks
End-to-end protocols for Cognitive Radio Ad Hoc Networks: An evaluation study
Performance Evaluation
Optimal spectrum sensing framework for cognitive radio networks
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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Cognitive radio technology has been used to efficiently utilize the spectrum in wireless networks. Although many research studies have been done recently in the area of cognitive radio networks (CRNs), little effort has been made to propose a simulation framework for CRNs. In this paper, a simulation framework based on NS2 (CogNS) for cognitive radio networks is proposed. This framework can be used to investigate and evaluate the impact of lower layers, i.e., MAC and physical layer, on the transport and network layers protocols. Due to the importance of packet drop probability, end-to-end delay and throughput as QoS requirements in real-time reliable applications, these metrics are evaluated over CRNs through CogNS framework. Our simulations demonstrate that the design of new network and transport layer protocols over CRNs should be considered based on CR-related parameters such as activity model of primary users, sensing time and frequency.