Adaptive model based on proactive spectrum sensing for emergency cognitive ad hoc networks

Abstract

Emergency Cognitive Ad hoc Networks (ECANs) require proactive, adaptive and resource efficient spectrum sensing. In general, work in the area of spectrum sensing for cognitive radio networks, has been focused on improving the performance and resource efficiency in static models based on reactive sensing. In this paper, an adaptive model based on proactive spectrum sensing is proposed for ECANs that have dynamic number of users and varying signal to noise ratios. The proposed model uses collaborative spectrum sensing scheme, where each cognitive radio senses the spectrum with certain probability. A Spectrum Coordinator (SC) plays the role of fusion center, generating a fused group decision based on the sensed information obtained from SUs in the network. SC allocates a 'reward' to each SU proportional to its sensing effort and the targeted performance. It can be seen that fairness in energy consumption across SUs is achieved in the proposed scheme. © 2012 ICST.