Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
Cognitive radio sensor networks
IEEE Network: The Magazine of Global Internetworking - Special issue title on networking over multi-hop cognitive networks
WIMOB '09 Proceedings of the 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Cooperative spectrum sensing using enhanced dempster-shafer theory of evidence in cognitive radio
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
AICT '10 Proceedings of the 2010 Sixth Advanced International Conference on Telecommunications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
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
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A cognitive radio sensor network (CRSN) is a promising fusion network that combines conventional wireless sensor network (WSN) with cognitive radio (CR) functionalities. With abilities to sense for available channels and to adapt to the radio environment, a CRSN is able to be more opportunistic in accessing spectrums than a WSN, but it also has problems due to hardware constraints and energy limitations. In many studies on distributed CR MAC protocols, establishing dedicated control channels (DCCs) has been considered as an important problem because it is essentially used for coordination and negotiation of spectrum assignments. However, directly applying DCCs into CRSNs is impractical, due to its high-cost complexity in hardware and deployment. To solve it, in this paper we propose a distributed MAC protocol using virtual control channels for CRSNs, in which CR sensor nodes called secondary users are grouped into clusters, and commonly shared available channels are utilized as virtual DCCs. In addition, a channel selection scheme is developed, based on an approximated partially observable Markov decision process. Our numerical simulation results indicate that the proposed MAC protocol can not only improve the throughput rate but also reduce the energy consumption under no DCCs.