Lightweight time synchronization for sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Proceedings of the 10th annual international conference on Mobile computing and networking
Routing and link-layer protocols for multi-channel multi-interface ad hoc wireless networks
ACM SIGMOBILE Mobile Computing and Communications Review
A cross-layer approach to channel assignment in wireless ad hoc networks
Mobile Networks and Applications
OS-MAC: An Efficient MAC Protocol for Spectrum-Agile Wireless Networks
IEEE Transactions on Mobile Computing
Opportunistic Spectrum Access via Periodic Channel Sensing
IEEE Transactions on Signal Processing
HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A survey of common control channel design in cognitive radio networks
Physical Communication
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The spectrum-agile cognitive radio has been developed to significantly increase spectrum utilization and relieve the spectrum exhaustion problem, by enabling secondary users to dynamically access the licensed spectrum bands. As such cognitive radio will be a key feature of future wireless technologies. In this paper, we propose an architecture for cognitive radio network (CRN). Our architecture uses one radio per node and does not need a common control channel, and is highly adaptable and resilient to maintain connectivity between neighboring nodes. In particular, we present a channel selection algorithm that not only spreads nodes into different channels to reduce co-channel interference, but also enables a node to easily compute the channel of a neighbor without the need to negotiate with the neighbor, which is highly desirable for CRN, as a channel may become inaccessible abruptly due to that the licensed user suddenly starts using it. Simulation results show that our CRN model and channel selection algorithm are highly adaptable and resilient to dynamic channels, and can achieve a close performance to the scheme that uses an extra radio and a static control channel to exchange channel information.