Distributed wideband spectrum sensing for cognitive radio networks

Abstract

Wideband spectrum sensing improves the agility of spectrum sensing and spectrum hand-off in cognitive radio systems. In this paper, a distributed wideband spectrum sensing technique over adaptive diffusion networks is proposed. Considering unknown and different channels between the primary and the cognitive users, an averaged received power spectrum across all the cognitive users is estimated by each user using diffusion adaptation techniques. This averaged power spectrum estimate is reliable enough for the users to perform spectrum sensing and make a decision regarding the presence or the absence of the primary user. The simulation results show that the detection performance of the system improves with the number of iterations. Further, a satisfactory detection performance at low SNRs is achieved after a few iterations, which is a desired characteristic for cognitive radio systems. Finally, it is shown that the cooperative technique outperforms the non-cooperative one in terms of estimation accuracy and detection performance.

Censoring diffusion for harvesting WSNs

“…Finally, nodes randomly refill some energy h k (n) with probability p h , for which we explore values 0.4 and 0.8 to test very different situations. The actual refilled energy is uniformly distributed in the interval [2,4].…”

“…Diffusion strategies have shown a huge potential in a number of Wireless Sensor Networks (WSN) applications [1]: target localization, collaborative spectral sensing [2], smart grid monitoring [3], etc.…”