Communication constraints in the average consensus problem
Automatica (Journal of IFAC)
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
Operating point selection for primary and secondary users in cognitive radio networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles
Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles
IEEE Network: The Magazine of Global Internetworking - Special issue on biologically inspired networking
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
OFDM-Based Common Control Channel Design for Cognitive Radio Ad Hoc Networks
IEEE Transactions on Mobile Computing
A survey of spectrum sensing algorithms for cognitive radio applications
IEEE Communications Surveys & Tutorials
On Accurate Energy Consumption Models for Wireless Ad Hoc Networks
IEEE Transactions on Wireless Communications
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Cooperative TV spectrum sensing in cognitive radio for Wi-Fi networks
IEEE Transactions on Consumer Electronics
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Hi-index | 0.24 |
Cognitive radio refers to an intelligent radio with the capability of sensing the radio environment and dynamically reconfiguring the operating parameters. Recent research has focused on using cognitive radios in ad hoc environments. Spectrum sensing is the most important aspect of successful cognitive radio ad hoc network deployment to overcome spectrum scarcity. Multiple cognitive radio users can cooperate to sense the primary user and improve sensing performance. Cognitive radio ad hoc networks are dynamic in nature and have no central point for data fusion. In this paper, gradient-based fully distributed cooperative spectrum sensing in cognitive radio is proposed for ad hoc networks. The licensed band used for TV transmission is considered the primary user. The gradient field changes with the energy sensed by cognitive radios, and the gradient is calculated based on the components, which include energy sensed by secondary users and received from neighbors. The proposed scheme was evaluated from the perspective of reliable sensing, convergence time, and energy consumption. Simulation results demonstrated the effectiveness of the proposed scheme.